AI Verse

aiverse

Meet AI Verse, Winner of Startups of The Year 2024 in Provence Alpes Côte d'Azur, France

Hey Hackers! AI Verse has been nominated in HackerNoon's Startups of The Year 2024 awards in Provence Alpes Cote d Azur, France under the AI category. Read more about AI Verse below to understand why they deserve your vote. Can you tell us about the journey of your startup? What inspired you to go into AI, and what were some of the initial challenges you faced? AI Verse started with a simple observation: one of the main challenges in AI development is accessing high-quality, application-specific training data. The founding team, made up of engineers and researchers, encountered the difficulties of traditional data sourcing—time-consuming, expensive, and often limited in scope. This inspired the team to develop a better solution. They created a procedural engine that makes it easier to generate synthetic images for even complex scenarios. By tackling this challenge, AI Verse aims to play a key role in advancing data-driven AI and computer vision. How has your Startup differentiated itself from other AI solutions in the market? AI Verse takes a unique approach to synthetic image generation. Our procedural engine allows users to create detailed environments, customize parameters for specific scenarios, and generate realistic datasets with accurate labels for various applications. By reducing the reliance on real-world data collection, our solution offers a cost-effective and scalable alternative. This approach has made us a reliable partner for organizations looking to overcome the challenges of traditional data collection and drive innovation. What have been some of your most significant milestones or achievements to date? One of our key milestones has been the launch of two specialized procedural engines—one for indoor environments and another for outdoor scenarios. These tools allow us to address the diverse requirements of computer vision training across industries like defense, security, smart cities, and smart homes. Our synthetic images have supported training AI models for various applications, including fall detection, weapon detection, and tank detection. These achievements highlight the flexibility and usefulness of our technology in advancing computer vision solutions. What are your future plans and goals for your Startup? How do you see your AI technology evolving in the next five years? Our goal is to continue improving synthetic image solutions while exploring new industries and expanding our role in computer vision. Over the next five years, we plan to refine our procedural engine, adding more customization options and advanced features to meet diverse needs. We also aim to grow globally, making our technology accessible to more organizations. By advancing synthetic image capabilities, we hope to contribute to the ongoing development of computer vision model training. Final Thoughts At AI Verse, we're dedicated to creating technology that supports innovation in AI. Our journey has been driven by a commitment to solving real challenges, and we’re excited to see synthetic images gaining recognition as a valuable tool in AI model training. We’d love for you to support our efforts and be part of this journey. Together, we can explore new possibilities in AI. Vote for us today! Voting page for Provence Alpes Cote d Azur city Voting page for Machine Learning Voting page for Data Privacy and Compliance Wanna use this template? Click here. Hey Hackers! Hey Hackers! AI Verse has been nominated in HackerNoon's Startups of The Year 2024 awards in Provence Alpes Cote d Azur, France under the AI category . AI Verse HackerNoon's Startups of The Year 2024 AI category Read more about AI Verse below to understand why they deserve your vote. AI Verse Can you tell us about the journey of your startup? What inspired you to go into AI, and what were some of the initial challenges you faced? AI Verse started with a simple observation: one of the main challenges in AI development is accessing high-quality, application-specific training data. The founding team, made up of engineers and researchers, encountered the difficulties of traditional data sourcing—time-consuming, expensive, and often limited in scope. This inspired the team to develop a better solution. They created a procedural engine that makes it easier to generate synthetic images for even complex scenarios. By tackling this challenge, AI Verse aims to play a key role in advancing data-driven AI and computer vision. AI Verse AI Verse How has your Startup differentiated itself from other AI solutions in the market? AI Verse takes a unique approach to synthetic image generation. Our procedural engine allows users to create detailed environments, customize parameters for specific scenarios, and generate realistic datasets with accurate labels for various applications. By reducing the reliance on real-world data collection, our solution offers a cost-effective and scalable alternative. This approach has made us a reliable partner for organizations looking to overcome the challenges of traditional data collection and drive innovation. AI Verse What have been some of your most significant milestones or achievements to date? One of our key milestones has been the launch of two specialized procedural engines—one for indoor environments and another for outdoor scenarios. These tools allow us to address the diverse requirements of computer vision training across industries like defense, security, smart cities, and smart homes. Our synthetic images have supported training AI models for various applications, including fall detection, weapon detection, and tank detection. These achievements highlight the flexibility and usefulness of our technology in advancing computer vision solutions. What are your future plans and goals for your Startup? How do you see your AI technology evolving in the next five years? Our goal is to continue improving synthetic image solutions while exploring new industries and expanding our role in computer vision. Over the next five years, we plan to refine our procedural engine, adding more customization options and advanced features to meet diverse needs. We also aim to grow globally, making our technology accessible to more organizations. By advancing synthetic image capabilities, we hope to contribute to the ongoing development of computer vision model training. Final Thoughts At AI Verse , we're dedicated to creating technology that supports innovation in AI. Our journey has been driven by a commitment to solving real challenges, and we’re excited to see synthetic images gaining recognition as a valuable tool in AI model training. We’d love for you to support our efforts and be part of this journey. Together, we can explore new possibilities in AI. AI Verse Vote for us today! Vote for us today! Voting page for Provence Alpes Cote d Azur city Voting page for Provence Alpes Cote d Azur city Voting page for Machine Learning Voting page for Machine Learning Voting page for Data Privacy and Compliance Voting page for Data Privacy and Compliance Wanna use this template? Click here. Wanna use this template? Click here . here

Revolutionizing AI with Synthetic Image Solutions: Startups of the Year 2024 Nominee, AI Verse

After months of passionate nominations, fierce voting, and unmatched community energy, the results for Startups of The Year 2024 are officially in. With over 150,000 startups nominated and more than 4 million votes cast, this has been our most explosive year yet — with the Cybersecurity industry among the most competitive categories. 150,000 startups 4 million votes cast As cloud computing and IoT continue to expand, so do the risks. Startups have risen to the challenge, pushing the boundaries of what's possible in network security, endpoint protection, IAM, and SOCs. These innovators aren't just building tools — they're redefining digital defense for a new era. network security endpoint protection IAM SOCs So without further ado, let’s spotlight the Cybersecurity startups of 2024! Cybersecurity startups of 2024! 🏆 Key Stats Let’s start out with some general stats for all of you technical folks. Total Startups Participated: 5,682
Sub Industries Represented: 7
Total Votes Gathered: 1,900,000
Winning Startups: 7 Total Startups Participated: 5,682 Total Startups Participated: Sub Industries Represented: 7 Sub Industries Represented: Total Votes Gathered: 1,900,000 Total Votes Gathered: Winning Startups: 7 Winning Startups: To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner.


You may also check out the full list of nominated startups in the Cybersecurity Industry HERE.



Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner.


You may also check out the full list of nominated startups in the Cybersecurity Industry HERE. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner. startups.hackernoon.com You may also check out the full list of nominated startups in the Cybersecurity Industry HERE. You may also check out the full list of nominated startups in the Cybersecurity Industry HERE. HERE. HERE Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. Startups of The Year Winner Announcement Series Here are all the 2024 Startups of The Year winners for Cybersecurity!! Cybersecurity Data Privacy And Compliance (735.2k total votes, 2k startups) Data Privacy And Compliance WINNER: Accredify WINNER: Accredify Accredify SECUREU
Sprinto SECUREU SECUREU Sprinto Sprinto Honorable Mentions: Honorable Mentions: Peris.ai - Cybersecurity
Didit
SharePass
AI Verse
Encryptecl Cyber Guards
Integritee
cheqd.io Peris.ai - Cybersecurity Peris.ai - Cybersecurity Didit Didit SharePass SharePass AI Verse AI Verse Encryptecl Cyber Guards Encryptecl Cyber Guards Integritee Integritee cheqd.io cheqd.io Cybersecurity Services And Products (725.7k total votes, 1.3k startups) Cybersecurity Services And Products WINNER: SECUREU WINNER: SECUREU SECUREU Sprinto
Peris.ai - Cybersecurity Sprinto Sprinto Peris.ai - Cybersecurity Peris.ai - Cybersecurity Honorable Mentions: Honorable Mentions: SharePass
Encryptecl Cyber Guards
Integritee
CodeNekt
Pan Galactic Developments Ltd
Sage Serv Forensic Labs Limited
SGNL SharePass SharePass Encryptecl Cyber Guards Encryptecl Cyber Guards Integritee Integritee CodeNekt CodeNekt Pan Galactic Developments Ltd Pan Galactic Developments Ltd Sage Serv Forensic Labs Limited Sage Serv Forensic Labs Limited SGNL SGNL Network Security (353.7k total votes, 1.7k startups) Network Security WINNER: SECUREU WINNER: SECUREU SECUREU Peris.ai - Cybersecurity
Encryptecl Cyber Guards Peris.ai - Cybersecurity Peris.ai - Cybersecurity Encryptecl Cyber Guards Encryptecl Cyber Guards Honorable Mentions: Honorable Mentions: autobotAI
QOD Information Technology
Celona
CleverChain
PriorityZero
Cywer Learning
Goldilock autobotAI autobotAI QOD Information Technology QOD Information Technology Celona Celona CleverChain CleverChain PriorityZero PriorityZero Cywer Learning Cywer Learning Goldilock Goldilock Threat Intelligence (58.1k total votes, 484 startups) Threat Intelligence WINNER: autobotAI - SecOps Automation WINNER: autobotAI - SecOps Automation autobotAI - SecOps Automation Nexustorage
Goldilock Nexustorage Nexustorage Goldilock Goldilock Honorable Mentions: Honorable Mentions: Hunt & Hackett
CleverChain
Apate.AI
Krishi Shwapno
Alethea
SEMA Telecom
Academy Security Group Hunt & Hackett Hunt & Hackett CleverChain CleverChain Apate.AI Apate.AI Krishi Shwapno Krishi Shwapno Alethea Alethea SEMA Telecom SEMA Telecom Academy Security Group Academy Security Group Access Control (698 total votes, 34 startups) Access Control WINNER: Cerbos WINNER: Cerbos Cerbos SGNL
AVADA Group Limited SGNL SGNL AVADA Group Limited AVADA Group Limited Honorable Mentions: Honorable Mentions: Transart Technologies Pvt Ltd
CoreBridge Solutions
Tierra Automation
CN Solutions
Yellowbox
ENGINEERING & TECHNOLOGY SERVICES (IoT solutions)
LogicLens Solutions Private Limited Transart Technologies Pvt Ltd Transart Technologies Pvt Ltd CoreBridge Solutions CoreBridge Solutions Tierra Automation Tierra Automation CN Solutions CN Solutions Yellowbox Yellowbox ENGINEERING & TECHNOLOGY SERVICES (IoT solutions) ENGINEERING & TECHNOLOGY SERVICES (IoT solutions) LogicLens Solutions Private Limited LogicLens Solutions Private Limited Location Services (72 total votes, 52 startups) Location Services WINNER: Charitism WINNER: Charitism Charitism AVADA Group Limited
Echo Analytics AVADA Group Limited AVADA Group Limited Echo Analytics Echo Analytics Honorable Mentions: Honorable Mentions: YoloBus, an EaseMyTrip.com Company
Health New Zealand | Te Whatu Ora
GRAM
Sator Grove Holdings
Mesa Quantum
Aheesa Digital Innovations Private Limited
Supply Change Capital YoloBus, an EaseMyTrip.com Company YoloBus, an EaseMyTrip.com Company Health New Zealand | Te Whatu Ora Health New Zealand | Te Whatu Ora GRAM GRAM Sator Grove Holdings Sator Grove Holdings Mesa Quantum Mesa Quantum Aheesa Digital Innovations Private Limited Aheesa Digital Innovations Private Limited Supply Change Capital Supply Change Capital Vpn (25 total votes, 11 startups) Vpn WINNER: Super Unlimited Inc. WINNER: Super Unlimited Inc. Super Unlimited Inc. AVADA Group Limited
Township Technology AVADA Group Limited AVADA Group Limited Township Technology Township Technology Honorable Mentions: Honorable Mentions: INNOVATIVE CONNECTING PTE. LIMITED
BITCHIEF TECHNOLOGY SERVICES PRIVATE LIMITED
Everlast Networks
unifyr
CopCoder
IDEXIAL TECHNOLOGIES
MikroTik Ghana INNOVATIVE CONNECTING PTE. LIMITED INNOVATIVE CONNECTING PTE. LIMITED BITCHIEF TECHNOLOGY SERVICES PRIVATE LIMITED BITCHIEF TECHNOLOGY SERVICES PRIVATE LIMITED Everlast Networks Everlast Networks unifyr unifyr CopCoder CopCoder IDEXIAL TECHNOLOGIES IDEXIAL TECHNOLOGIES MikroTik Ghana MikroTik Ghana Congratulations to you all! We will contact you with details on how to claim your winnings! Congratulations to you all! We will contact you with details on how to claim your winnings! Congratulations to you all! We will contact you with details on how to claim your winnings! See the global regional announcements here.
See the global industry announcements here. See the global regional announcements here.
See the global industry announcements here. See the global regional announcements here. here See the global industry announcements here. here About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries participated in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many storieshave been written about these daring and rising startups. Startups of The Year 2024 many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview Evergreen Tech Company News Visit our FAQ page to learn more. FAQ Download our design assets here. here Check out the Startups of The Year Merch Shop here. here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated packages to solve your marketing challenges. Book a meeting with us to learn more! curated packages Book a meeting with us to learn more! Book a meeting with us to learn more! Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool.Get your offer now! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Hubspot: Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform

Startups of The Year 2024 Winners: Cybersecurity

Стартовете на годината 2024 - победители в киберсигурността

Startupovi godine 2024 Pobjednici: Kibersigurnost

Les startups guanyadores de l'any 2024: ciberseguretat

Vinderne af Årets Startups 2024: Cybersikkerhed

Las startups del año 2024 ganadoras: ciberseguridad

Les startups gagnantes de l’année 2024 : cybersécurité

Le start-up dell'anno 2024 vincitori: Cybersecurity

Startups of the Year 2024 Winners: サイバーセキュリティ

2024 жылға дейін Startups: Cybersecurity

Startups of the Year 2024 Победници: Киберсигурност

Startup Tahun 2024 Pemenang: Keselamatan Siber

Startups of the Year 2024 Vinnare: Cybersecurity

After months of nominations, voting, and community support, the Startups of The Year 2024 results are in. With over 150,000 startups in the running and more than 4 million votes cast, this year’s awards have been our biggest yet, and the AI Industry, in particular, was on fire. Startups of The Year 2024 Startups of The Year 2024 150,000 startups 150,000 startups 4 million votes The AI startup scene continues to evolve at breakneck speed, spurred by advances in deep learning, ambitious teams, and real-world impact across industries. From intelligent automation to next-gen developer tools, the startups you voted for are pushing the boundaries of what’s possible. Let’s take a look at the standout AI startups of 2024. AI startups Startups of The Year 2024: Key AI Industry Stats For the number lovers out there, here’s a quick breakdown: For the number lovers out there, here’s a quick breakdown: Total Number of Participating Startups: 18,519
Sub Industries Represented: 8
Total Votes Recorded: 288,700
Winning Startups: 8 Total Number of Participating Startups: 18,519 Total Number of Participating Startups: Sub Industries Represented: 8 Sub Industries Represented: Total Votes Recorded: 288,700 Total Votes Recorded: Winning Startups: 8 Winning Startups: To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner.


You may also check out the full list of nominated startups in the AI Industry HERE.



Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner.


You may also check out the full list of nominated startups in the AI Industry HERE. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner. To explore winning top startups in other industries or cities, head over to startups.hackernoon.com and use the search bar — the name at the top of each list is the winner. startups.hackernoon.com You may also check out the full list of nominated startups in the AI Industry HERE. You may also check out the full list of nominated startups in the AI Industry HERE. HERE. HERE Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. Stay tuned for our Startups of The Year Winner Announcement Series, where we’ll be highlighting the top startups across various regions and industries. Startups of The Year Winner Announcement Series Now, drum roll please… Now, drum roll please… Meet the Top AI Startups of The Year 2024 AI Startups Analytics (142.4k total votes, 2.1k startups) Analytics Winner: Mecanizou Winner: Mecanizou Mecanizou ViralMango - Influencer Marketing
Nat5 ViralMango - Influencer Marketing ViralMango - Influencer Marketing Nat5 Nat5 Honorable mentions: Honorable mentions: AKUMENIA
Hyperhumans
Business Intelligence Limited
Reputation House
7Analytics
Mazmobi
Recut URL Shortener AKUMENIA AKUMENIA Hyperhumans Hyperhumans Business Intelligence Limited Business Intelligence Limited Reputation House Reputation House 7Analytics 7Analytics Mazmobi Mazmobi Recut URL Shortener Recut URL Shortener Automation (67.4k total votes, 1.4k startups) Automation Winner: Tezeract Winner: Tezeract Tezeract autobotAI
Sereda.ai autobotAI autobotAI Sereda.ai Sereda.ai Honorable mentions: Honorable mentions: The Real Group
RentBamboo
Yemberzal
Accredify
Maiky
Hyperce
QOD Information Technology The Real Group The Real Group RentBamboo RentBamboo Yemberzal Yemberzal Accredify Accredify Maiky Maiky Hyperce Hyperce QOD Information Technology QOD Information Technology Business Intelligence (35.6k total votes, 12.1k startups) Business Intelligence Winner: Leonado Limited Winner: Leonado Limited Leonado Limited Tezeract
Mecanizou Tezeract Tezeract Mecanizou Mecanizou Honorable mentions: Honorable mentions: KD Squares
AQUi9
Postjer Group
Unirises
DataMind
Entrustech Inc.
Matter IT Mauritanie KD Squares KD Squares AQUi9 AQUi9 Postjer Group Postjer Group Unirises Unirises DataMind DataMind Entrustech Inc. Entrustech Inc. Matter IT Mauritanie Matter IT Mauritanie Machine Learning (22.7k total votes, 1k startups) Machine Learning Winner: Didit Winner: Didit Didit Antix Interactive Inc.
Hoken Tech Antix Interactive Inc. Antix Interactive Inc. Hoken Tech Hoken Tech Honorable mentions: Honorable mentions: AI Verse
Epowar
FueGo.
SimZero
Quatfit
Ac28R
Hidonix AI Verse AI Verse Epowar Epowar FueGo. FueGo. SimZero SimZero Quatfit Quatfit Ac28R Ac28R Hidonix Hidonix Generative AI (15.5k total votes, 235 startups) Generative AI Winner: Worksible Winner: Worksible Worksible Tezeract
Antix Interactive Inc. Tezeract Tezeract Antix Interactive Inc. Antix Interactive Inc. Honorable mentions: Honorable mentions: Pieces for Developers
Arize Phoenix
textomap
Ac28R
mkinf
Sivi
Vcodewonders Pieces for Developers Pieces for Developers Arize Phoenix Arize Phoenix textomap textomap Ac28R Ac28R mkinf mkinf Sivi Sivi Vcodewonders Vcodewonders AI Wrappers (2.5k total votes, 192 startups) AI Wrappers Winner: Sereda.ai Winner: Sereda.ai Sereda.ai FueGo.
Shugert Marketing FueGo. FueGo. Shugert Marketing Shugert Marketing Honorable mentions: Honorable mentions: Cabina.AI
OmniChat AI
Undertow
Localazy
idensys Technologies
Hedy AI
BUSRA GROUP Cabina.AI Cabina.AI OmniChat AI OmniChat AI Undertow Undertow Localazy Localazy idensys Technologies idensys Technologies Hedy AI Hedy AI BUSRA GROUP BUSRA GROUP Robotics (2.4k total votes, 1.3k startups) Robotics Winner: Hidonix Winner: Hidonix Hidonix MedGos
Vitality Robotics MedGos MedGos Vitality Robotics Vitality Robotics Honorable mentions: Honorable mentions: DRONEQUBE
Formic
CENTO software
HealingHand Tech
Vas MedTech
C2Dx, Inc.
Control One DRONEQUBE DRONEQUBE Formic Formic CENTO software CENTO software HealingHand Tech HealingHand Tech Vas MedTech Vas MedTech C2Dx, Inc. C2Dx, Inc. Control One Control One Chatbots (200 total votes, 189 startups) Chatbots Winner: Paidia Gaming Winner: Paidia Gaming Paidia Gaming Datazo InfoTech
Cognitiev Datazo InfoTech Datazo InfoTech Cognitiev Cognitiev Honorable mentions: Honorable mentions: CloudEngine Labs
Brainy Neurals - AI Development Company
iSmart Apps - Oracle Cloud Experts
Link Bell Pvt Ltd
Dicken Media1
Daamtu, AI & Chatbots Solutions
Four Africa CloudEngine Labs CloudEngine Labs Brainy Neurals - AI Development Company Brainy Neurals - AI Development Company iSmart Apps - Oracle Cloud Experts iSmart Apps - Oracle Cloud Experts Link Bell Pvt Ltd Link Bell Pvt Ltd Dicken Media1 Dicken Media1 Daamtu, AI & Chatbots Solutions Daamtu, AI & Chatbots Solutions Four Africa Four Africa Congratulations to you all! We will contact you with details on how to claim your winnings! Congratulations to you all! We will contact you with details on how to claim your winnings! Congratulations to you all! We will contact you with details on how to claim your winnings! See the global regional announcements here.
See the global industry announcements here. See the global regional announcements here.
See the global industry announcements here. See the global regional announcements here. here See the global industry announcements here. here About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries participated in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many storieshave been written about these daring and rising startups. Startups of The Year 2024 many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview Evergreen Tech Company News Visit our FAQ page to learn more. FAQ Download our design assets here. here Check out the Startups of The Year Merch Shop here. here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated packages to solve your marketing challenges. Book a meeting with us to learn more! curated packages Book a meeting with us to learn more! Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool.Get your offer now! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Hubspot: Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform

Startups of The Year 2024 Winners: AI Industry 

Startups van die Jaar 2024 Winnaars: AI-bedryf

২০২৪ সালের স্টার্টআপ বিজয়ী: এআই শিল্প

Startupe godine 2024 Pobjednici: AI industrija

Las startups del año 2024 ganadoras: la industria de la IA

Vuoden 2024 voittajat: AI-teollisuus

Startupovi godine 2024 pobjednici: AI industrija

Startups of the Year 2024 Winners: AI Industry

2024 жылы Қазақстан индустриясы:

2024-ийн Startups Шагнагч: AI аж үйлдвэрийн

Startupy Roku 2024 Zwycięzcy: Przemysł AI

2024 වර්ෂයේ Startups ජයග්රාහකයින්: AI කර්මාන්තය

Ang mga nag-aalok ng Startups ng Taon 2024: AI Industry

The 2023 year kicked off with a taste of volatility. After starting on a potentially optimistic note, the market is showcasing fluctuations caused by inflation fears, so leveraging data to manage risk remains a priority. Investors have long relied on traditional financial data and market research to make decisions, but as financial markets become increasingly volatile, these sources of information are proving insufficient. Amidst this complexity, AI sentiment analysis is emerging as a tool touted to offer unprecedented insights and potentially redefine traditional investment practices. AI detecting shifts in sentiment could potentially provide investors with a significant edge. But, like all powerful tools, AI sentiment analysis also has limitations. The effectiveness of the technology relies on the quality of the data it examines. False information or 'noise' on social media can skew results. Also, defining and identifying 'sentiment' is a complex task—even for AI software. As we ride the cusp of this revolution, one question arises — Will AI-driven sentiment analysis be the future tool for risk-averse investors? The field is ripe for exploration and development. As technology advances, we will likely see an evolving role for AI sentiment analysis within the financial markets. The Influence of Sentiment Analysis on Investment Choices The current economic hardships are not unprecedented, and there’s a lot we can learn from the previous ones. The 2008 financial crash demonstrated how traditional analytical methods were ill-equipped to foresee future economic upheaval. Back then, conventional analytical tools relied heavily on historical data, financial ratios, and macroeconomic indicators. However, they missed a crucial dimension: the capability to tap into the collective emotional undercurrent of the market. This gap meant decision-makers were caught off guard by the growing negative sentiments that brewed beneath the surface, ultimately leading to the catastrophic collapse. As of 2023, this need to bolster our risk-assessment infrastructure prompted an interest in sentiment analysis – attempting to glean insights from public opinion, as reflected in content across various media. There’s a between investor sentiment and financial market volatility, placing sentiment analysis at the core of investment strategies. Indeed, there is a link between sentiment and market performance, for instance: correlation A common tendency emerges when investor sentiment is categorized according to different topics: it often exhibits a positive correlation with the excess return rate. The Inland Norway University of Applied Sciences proved this. Different topics have varying degrees of impact. Investor sentiment has an on excess returns. asymmetric impact Sentiment analysis's potential to gauge market trends and sentiments can be demonstrated through recent events like the GameStop short squeeze and the cryptocurrency craze that took over Reddit. The surge in GameStop's stock price in early 2021, driven largely by traders organizing themselves on the subreddit r/wallstreetbets, exemplifies how sentiment analysis can reveal market-shifting trends. The popularity of cryptocurrencies also significantly increased on Reddit, noticeably on r/CryptoCurrency and r/bitcoin. These sentiment shifts had real-world implications. During this period, the price of cryptocurrencies such as Bitcoin and Ethereum experienced a surge, partially due to the heightened investor sentiment displayed on these platforms. The surge in discussions and collective bullish sentiment on Reddit could be analyzed in real-time, revealing a potential market movement before it was reported by mainstream financial news. Investors and data analysts using AI-based sentiment analysis tools were able to observe the rising positive sentiment towards GameStop shares. An AI-powered sentiment analysis tool would’ve detected an increased volume of posts, comments, and positive sentiment around particular cryptocurrencies. By monitoring the sentiment on platforms like Reddit, investors can gain an invaluable window into retail investor sentiment. AI-driven sentiment analysis provides the tools needed to parse through the enormous volume of posts and comments, sorting them for content and analyzing their sentiment, whether positive, neutral, or negative. This empowerment to detect mass sentiment shifts early enough can prove exceedingly beneficial, especially during volatile market conditions. How AI Sentiment Analysis Uses NLP for Revealing Hidden Patterns Sentiment analysis utilizes Natural Language Processing (NLP), text analysis methods, and computational linguistics to detect, extract, and measure subjective information from source materials. Using NLP techniques, sentiment analysis pre-processes texts for analysis by eliminating irrelevant information and breaking the texts down into smaller, manageable tokens. These tokens, then, are classified into sentiments, thereby defining the overall sentiment of the text. The key objective is to discern the underlying sentiment—positive, negative, or neutral—expressed in a series of words. When combined with NLP, AI transforms the way machines comprehend and engage with human language. AI helps NLP algorithms grasp the meaning, context, and sentiment behind complex and unstructured text data. AI sentiment analysis models are capable of comprehending the context and nuances of language. They can pick up on nuances, irony, sarcasm, and other complex aspects of language that could change the entire sentiment behind a statement. Brand mentions, product reviews, online feedback - AI can analyze all these and more to provide valuable insights about public sentiment. Let's take a look at an example: "We stopped off at Cafe X last week. Their coffee was impeccable, but the muffins were rather disappointing." The next stage involves fusing these words into grammatical structures and assigning semantic attributes to these structures. In this situation, "impeccable" delivers a positive sentiment regarding the coffee, while "rather disappointing" imparts a negative sentiment toward the muffins. Each semantic function, including the Participant ("We"), Activity ("stopped off"), Entity ("Cafe X"), Item 1 ("coffee"), Sentiment 1 ("impeccable"), Item 2 ("muffins"), and Sentiment 2 ("rather disappointing"), is pulled out and evaluated. This helps decode what people say about specific products or services, enabling brands and decision-makers to gain enhanced understanding and make strategic decisions. To enhance the accuracy of its output, sentimental analysis models are trained with large datasets, allowing them to better understand and predict sentiments based on the association between words and their sentiments. An essential element in this process is contextual understanding, which helps depict the varying sentiments of words when used in different settings or contexts. Delving into the context of verbal expressions, then, it analyzes the context of those words to determine how they could affect an investor’s strategy in the short term. For example, suppose there are predominantly negative and several positive articles about the same stock. In that case, it might interest long-term investors who want to get in at a lower price before there’s more growth ahead for the stock price. An instance of this, a featured in the Australasian Accounting, Business, and Finance Journal delved into the connection between the tweet activity of Tesla CEO Elon Musk and the fluctuations in Tesla's stock price. The purpose of the research was to determine if Musk's tweets noticeably influenced the stock price of Tesla. Through the use of machine learning with Python and Scikit-Learn, the authors classified Musk's tweets into sentiment categories. Curiously, on April Fool's Day, Elon Musk took to Twitter with a tongue-in-cheek assertion that Tesla had hit financial rocks by going bankrupt. But this seemingly innocuous tweet packed a punch, leading to a substantial 7% dip in Tesla's stock value. research paper Considering Musk's propensity to share opinions and updates about Tesla on Twitter, his tweet activity has the potential to sway market sentiment, both positively and negatively. Therefore, the study's results could provide valuable insights into the power of high-profile individual's influence on market dynamics. However, it may underscore the importance of sentiment analysis for spotting trends in real time and understanding the significance of influential voices in the market. Investors and analysts can leverage these insights to adapt their strategies and seize opportunities arising from shifts in public sentiment, especially in today's world where social media plays a crucial role in shaping opinions and decision-making. Is It Effective? Some experts say AI sentiment analysis works well enough to predict short-term movements in stock prices, but they're skeptical about its long-term accuracy and effectiveness. Others seem more optimistic about its potential benefits, claiming that sentiment analysis can help investors find hidden opportunities in their portfolios. Various resources claim that sentiment scores generated by AI algorithms were only 60-70% accurate at best — meaning they were right just three out of every five times. Misleading information, fake news, and spam distort results, challenging reliable insights. Moreover, human language complexities, including sarcasm and nuanced emotions, can hinder accurate interpretation and need advanced AI models to detect and interpret them. In reality, even while it's not 100% accurate all the time, the insights it brings can still be valuable. Another conducted at Stanford University states that by analyzing Twitter data with sentiment analysis and machine learning, it's possible to predict stock market movements with a 75.56% accuracy using a Self Organizing Fuzzy Neural Network (SOFNN) and formulate a basic portfolio management strategy based on the results. research study Sentiment analysis adds a new layer of intelligence to investment strategies, making them more empathetic and responsive to shifts in the public opinion landscape. Leveraging cutting-edge methodologies such as Big Data analytics, Machine Learning, and Natural Language Processing (NLP), specialists can produce optimized and cost-effective applications suitable for diverse organizational purposes. An example of how impactful sentiment analysis can be is seen in Cognovi Labs' Twitris tool. Twitris could hours before the polls by analyzing real-time sentiment expressed over Twitter. By understanding context, even inclusive of slang, Twitris could detect the underlying sentiment of tweets to predict a significant political event. predict Brexit This example demonstrates the power and potential of machine learning and NLP in analyzing social media chatter and predicting market and socio-political trends. As these technologies evolve, the fintech industry stands to gain even more valuable, real-time insights - ultimately leading to more informed and potentially successful investment decisions. In a nutshell, if you go for AI when managing sentiment analysis, you’re on the right track, provided you combine tech expertise with industry-specific sensitivities and expertise. The importance of this advanced technology extends past the simple interpretation of customer emotions. AI sentiment analysis equips businesses, particularly startups, with a competitive advantage in the ever-evolving market landscape. Whether or not any out-of-the-box solutions emerge in the coming years for particular industries is entirely up to the demand and supply laws, and they will likely be there before 2027.

Will AI Sentiment Analysis Be the Next Online Trading Tool for Risk-averse Investors?

Venture capital (VC) has played a crucial role in the growth of the digital asset industry over the past two years. According to a by Pitchbook , VC investments in crypto skyrocketed in 2021, reaching $25.1 billion, which is a sevenfold increase compared to  $3.4 billion in 2020. And while 2022 in crypto was not for the faint of heart, crypto VCs still managed to deploy a record high of $26.2 billion. report Across the board, valuations on practically all projects rose significantly during the 2020-2021 bull market, but as the market contracted throughout 2022, VC’s also started to see valuations of investments taking a heavy nosedive. This was of course fuelled by the changes happening in the surrounding macroeconomic picture where a shift in economic and fiscal policy started to greatly influence the economy. And to top things up, the crypto domain suffered greatly in the wake of the industry-specific implosions happening with and . FTX TerraLuna Crypto VC Funding Resilient Amidst 2022's Bear Market Seasoned crypto professionals are well aware that the cyclical bear markets are not something for the faint of heart, and that valuations cut in half or even worse are well within the norm of an ordinary bear market. Regardless, 2022 stands out as one of the toughest years for crypto to stomach since its inception. Nonetheless, the VC market still witnessed some action. Several big players in the industry such as Andreessen Horowitz (a16z) and Sequoia Capital launched billion-dollar funds dedicated to Web3, DeFi, NFTs and the metaverse. Many other funds had similar success in their funding rounds. Below is a chart that summarizes some of the biggest crypto VC raises from 2022. Image source: Bitcoin Global Macro But even with so much fresh funding available for venture capitalists, most crypto VCs were caught up in an industry that had been plagued by a deteriorating macro environment and idiosyncratic disappointments within the industry itself. The Venture Capitalists that understand risk were better off However, what’s particularly worth noting is that VCs who were keen on their risk management strategies performed better than those who took asymmetrical bets and ended up with too much exposure in crypto projects that went under. For instance, in the Luna fiasco, one of the leading crypto VCs, Pantera Capital, up to a 100-fold return from their initial investment. The firm initially allocated $1.7 million in Luna and managed to sell 87% of the investment between January 2021 and April 2022, translating to an overall return of $171 million. reported According to Pantera Capital's co-chief investment officer, Joey Krug, the main reason for gradually reducing their exposure was to manage their risk and avoid having "a super large portion of the fund in one position". Another top VC that dodged the Luna bullet is CMCC Global, one of Terra's seed investors in 2018. The company's founder, Martin Baumann, told CNBC that it exited the Luna position two months before the May collapse, mainly because of regulatory concerns and the technicality of the UST stablecoin. “As opposed to asset-backed , which are derivatives of existing USD in circulation, UST was effectively increasing the money supply of USD in existence. We figured, while an interesting concept, regulators would not tolerate tampering with money supply of the USD,” noted Baumann. stablecoins Who Bite the Dust? On the contrary, there are many institutional investors that did not follow risk management procedures as stringent as the aforementioned, and as expected, they did not weather the storm equally well. The most obvious examples are of course Alameda Research and Three Arrows Capital (both leading crypto hedge funds at the last cycle high). 3AC was among the first companies to be affected by Luna’s collapse. The now insolvent fund had invested $200 million in Luna tokens in February 2022, all of which became worthless when Luna collapsed in May. We now know that the now-defunct Alameda Research was probably caught in the rain at about the same time. Multicoin Capital, a prominent name in the crypto VC space, was also caught off guard in the market chaos witnessed last year. While Multicoin Capital successfully dodged Luna’s implosion, it took a heavy hit from FTX’s collapse in November 2022. According to a copy of Multicoin's yearly investor letter, the firm a 91.4% impairment loss, mainly from its exposure in FTX-related tokens such as , and SRM. incurred FTT SOL It should be obvious to any observer of these markets that as prosperous as the waters may be, as deadly can they become once the tide turns, and it is likely that those who care most about managing risks are the ones who persevere on the long haul. Crypto VC fund directions in 2023 As expected, crypto VCs have become more selective following the events that rocked the industry last year. However, activity has slowly been picking up, with February $872 million in VC investments, a 54% increase from January’s $574 million. recording But more interesting are the developing investment themes; to Coindesk, Pantera’s Capital, Joey Krug, noted that the firm is particularly interested in the growth DeFi, especially following the rise of Layer-2 chains that have improved usability, reduced transaction costs and have the potential to attract more liquidity. speaking We also spoke with Benjamin Hovarth, a partner at Blockchain Founders Fund, which recently $75 million to support potential Web3 startups in the pre-seed and seed stages. raised Hovarth observed that it is reasonable to anticipate more solutions that operate within regulatory acceptance, such as KYC/AMLA tools, permissioned blockchains, and centralized exchanges. “There has been a renewed interest in decentralized stablecoins, currency mixers, privacy enablers, and DEXs. We expect this trend to continue moving forward and be one of the primary catalysts for the next bull run” Hovarth added. Crypto VCs in 2023 seem to be focused on investing in areas that had already shown significant potential prior to the recent market downturn. This trend is reflected in the Q1 2023 VC by Galaxy Research, which indicates that trading, exchange, investing, and lending crypto startups received the most funding, accounting for 22% of all money raised, followed by wallet infrastructure, which received 21% of all funding. report Image source: Galaxy Research At the same time, startups developing in the Web3, NFT, DAO, Metaverse, and Gaming space recorded the highest number of deals. This suggests that while investors may prioritize more established segments in terms of funding, they are also continuing to explore and support emerging trends and technologies in the crypto space. Overall, these trends indicate that despite market turbulence, the crypto industry continues to evolve and attract significant interest and investment from venture capitalists. Also published here.

Exploring the Risk-Averse Shift in Crypto Venture Capital During the Bear Market

On March 10, we witnessed an event that nearly pushed crypto to the brink of collapse. , founded in 1983 with over $200 billion in assets, went under after depositors scrambled to withdraw funds. This was a classic case of mismanagement and incompetence, but how does this affect the crypto industry? Silicon Valley Bank Circle, the company behind the second-largest stablecoin, had over $3 billion worth of USDC reserves in SVB, and this news caused the token to briefly lose its peg. At one point it was selling for $0.88 – 12% under its expected value. Before going into how you can keep your portfolio safe, it’s crucial to understand what stablecoins are, how they work, and what causes them to lose their peg. What are Stablecoins and How do they work? Stablecoins are tokens pegged to a real-world currency. For every USD-pegged token issued by Circle, , or any other stablecoin provider, a real dollar is kept in its reserves. As of now, no stablecoin provider publishes audits of their reserves. Instead, these companies put out ‘Proof of Reserves’ statements, which are about as reliable as saying, “trust me bro.” Tether Banks infamously do not want to work with these stablecoin providers, so when three of the only banks partnered with crypto companies (SVB, Signature, and Silvergate) crashed, liquidity in crypto markets temporarily dried up. The blockchain community has since raised concerns about relying on centralized banking infrastructure to run its decentralized finance operations, but the most popular cryptocurrency by trading volume to date remains a tokenized form of the US dollar. But this isn’t the only form of stableecoin. What are algorithmic stablecoins? Instead of being backed by fiat money, these stablecoins are backed by other cryptocurrencies. Most algorithmic stablecoins fail. These aren’t reliable investments if you’re looking to keep your money in crypto without having to deal with the market’s wild swings. When the cryptocurrencies backing the stablecoin fall in value, the algorithmic stablecoin is supposed to adjust its reserve ratios to maintain price stability. All of these mechanisms are managed automatically by smart contracts. Unfortunately, these mechanisms fail more often than not. Stablecoins are often hailed as the solution to crypto volatility – a way to keep your money in crypto without having to worry about all the wild price swings. But if stablecoins aren’t stable anymore, how do you keep your crypto-assets safe? Don’t overlook DAI is a decentralized stablecoin that’s backed by cryptocurrencies like ETH and Wrapped Bitcoin. The difference between DAI and other algorithmic stablecoins is that it’s over-collateralized, meaning you have to deposit around $1.70 worth of ETH to mint 1 DAI. If the value of ETH falls, you either deposit more ETH, or risk being liquidated (i.e. the locked-up ETH is sold to ensure the protocol doesn’t lose money). DAI What some don’t realize is that this only applies to minting DAI. People mint DAI for a variety of reasons, but you can buy DAI directly from an exchange for exactly $1. DAI remained stable through the Luna/UST crash, and is the longest-running decentralized stablecoin to date, having launched nearly six years ago in 2017. The problem is, nearly 50% of DAI’s collateral reserves are in USDC. If something were to happen to USDC (as it did on March 10), this stablecoin would technically be at risk. Luckily, the 12% drop in USDC’s peg wasn’t enough to topple this DeFi behemoth. However, if algorithmic stablecoins sound a tad too risky for you, there is another option. Long-term stability, short-term risk Another popular option is to move your assets into Bitcoin, which is widely considered a store of value, though it is far more volatile than any of the stablecoins we’ve mentioned here. If you’re looking for a long-term solution, and don’t mind bearing the short-term price swings, Bitcoin is probably your safest bet. You could also swap into Monero, a privacy-focused digital asset that’s maintained its value at around $150 since last June. Though it’s not stable by any measure, XMR’s primary use-case is payments, meaning it doesn’t fluctuate as wildly as some other tokens out there. However, with the laws surrounding privacy coins being quite strict, you may run into trouble getting your hands on some. Get out or get rekt If the risk of holding crypto assets seems too high, you only have one option left: liquidate. Sell your tokens for . Make sure to look into your local tax laws before doing this, because it can get pretty complicated. For instance, Germany doesn’t require you to pay capital gains taxes on crypto assets held for longer than a year, but if your assets are staked, you have to hold them for ten years to avoid paying taxes. fiat currency A lot of people who lost money during the UST crash would have killed for the opportunity to pay tax on their crypto if it meant getting back at least some of it. If risk is something you can’t handle, this is your only option. Crypto is an incredibly risky market, and it’s important to remember this when organizing your portfolio. In an age where scams comprise a large portion of the digital asset market, make sure to verify everything a project claims before parting with your funds. Remember: not your keys, not your crypto. Make sure to store your assets safely in a cold storage wallet, and write down your seed phrase somewhere secure. The VCs have failed us (3 Arrows Capital), the exchanges have failed us (FTX), and now the stablecoins are failing us too. As a risk-averse investor, it’s time to get a grip or get rekt. Your move! Lead image generated with stable diffusion Prompt: Illustrate a basket filled with stablecoins

(Un)Stablecoins: A Risk-Averse Investor’s Guide to Safeguarding Your Crypto

Financial crises are like human fingerprints – they may look the same and yet under ultraviolet light, there are very dramatic differences. The reality is, every crisis differs in its nature and intensity and will require a different action plan. Types of crisis distinguish two types of crises: those classified using strictly quantitative definitions; and those dependent largely on qualitative and judgmental analysis. The first group mainly includes currency and sudden stop crises and the second group contains debt and banking crises. Reinhart and Rogoff (2009a) However, this year we became aware of a new type of financial disruption caused “voluntarily” to stop the expansion of the coronavirus, and not as a consequence of serious imbalances in the economy such as those in 2008 (real estate-credit bubble, deficit foreign, over-indebtedness of the private sector, etc.). In principle, this means that if the activity slowdown does not continue too long, the economy could recover relatively quickly once the current restrictions are lifted. Similarities between the current and previous crises According to , a financial crisis is often associated with one or more of the following phenomena: the IMF Substantial changes in credit volume and asset prices Severe disruptions in financial intermediation and the 5 supply of external financing to various actors in the economy Large scale balance sheet problems (of firms, households, financial intermediaries and sovereigns) Large-scale government support (in the form of liquidity support and recapitalization). Despite the fact that the current recession has been accompanied or triggered by government actions, we did observe all of the previously mentioned criteria. But one thing deserves special attention: junk bond funds registered record $ 7 billion in cash inflows. According to , the volume of corporate debt reached an all-time high in real terms of USD 13.5 trillion at the end of 2019, driven by the return of more expansionary monetary policies early in the year. At the same time, the overall quality of corporate debt has declined. the OECD report One of the scariest charts for the financial sector today - the US credit market grew from $ 2 trillion in 2008 to $ 7 trillion in 2020. One of the biggest contributors to this growth was BBB-rated corporate bonds. The fall of the US economy into recession = a huge mass of BBB can lose its rating and turn into “junk” bonds = disaster. As well noted by , regulators are worried about how much banks are vulnerable to debt rated just above junk. If, as expected, the crisis leads to widespread downgrades of this debt by rating agencies, investment funds run by banks would be forced to dump the assets at fire-sale prices because they are not allowed to own junk bonds. NYTimes On the other hand, finding buyers for so-called fallen angels could be a difficult task. Downgrades by S&P and Moody’s last month sent $36bn of debt back into junk territory. BofA warns that the total for the year could reach $ . Citigroup, in turn, says that $200 billion to $300 billion could get downgraded just this year, at least doubling the prior single-year record from 2002. 200bn Finding growth in tough global conditions Nevertheless, it doesn’t mean that every company is in the same situation. There is no doubt that coronavirus has affected peoples' buying habits, due to universal quarantine. Even though, they are still willing to consume. Over the last couple of months, a small group of companies registered a record inflow of new customers. First place, obviously, went to retailers, including pharmacies and grocery stores. CVS Pharmacy Due to an influx in orders, CVS Pharmacy announced it is currently looking to fill a total of 50,000 full-time, part-time and temporary positions nationwide, including "store associates, home delivery drivers, distribution center employees, and member/customer service professionals." Most importantly, the company will utilize a technology-enabled hiring process that includes virtual job fairs, virtual interviews, and virtual job tryouts. Amazon The second place on our makeshift list goes to Amazon, one of the few businesses to show growth on the year to date basis. Its sales have registered an unprecedented boom, as people all over the world are limited to online shopping. In this context, the company 100,000 people nationwide for full-time and part-time roles in Amazon's delivery network and at its fulfillment centers. announced its plan to hire "We also know many people have been economically impacted as jobs in areas like hospitality, restaurants, and travel are lost or furloughed as part of this crisis," the company said in a on its website. "We want those people to know we welcome them on our teams until things return to normal and their past employer is able to bring them back." statement Some other companies that are Walmart (plans to ), Instacart (300,000 positions), Albertsons Companies (looking for 30,000 new employees), Dollar General (plans to add up to ), PepsiCo ( full-time, frontline employees), Papa John's ( to hire 20,000 new "restaurant team members") and Domino's (plans to hire 10,000 employees). The list does not end there, however. started the recruiting process hire 150,000 workers 50,000 employees wants to hire 6,000 announced plans ...and what my employer, TradingView, is seeing We are a financial platform dedicated to the development of advanced charting and trading technology, as well as the host of a global trading community that shares ideas across multiple mediums (research, video, chat) discussing global markets and assets. In less than two months, we have moved from TOP 300 to TOP 200 global websites, according to Alexa rankings. Such outstanding growth may be explained by the fact that Tradingview provides straightforward access to market information, alongside the analysis tools that allow understanding of what is going on. Another possible explanation can be our recently launched so that users worldwide can visualize the rate of infections, deaths, and recoveries. COVID-19 charts Overall, this data, together with a high range of technical analysis tools, helps others understand the spread of the virus and its economic impact, thus adjusting their investment strategies accordingly. Disclosure: The author works at TradingView .

Which Sectors See Growth During Adverse Global Conditions?

Today, as the world progresses, the inevitable dominance of technology has taken over almost every aspect of our lives. Unfortunately, relationships are replaced by virtual ones, leisure time is spent while scrolling, and you no longer need drugs to escape from reality. Instead of shutting your eyes and empowering smartphones to rule our lives, it would be wiser to embrace this revolution, let it infuse in your daily routine, and exploit its power to enhance your life. What is smartphone addiction? Smartphones are a prominent example of a tool that empowers you to utilize this wave of automation. Now the ball lies in your court that either you avail this opportunity or blow it. Blowing it indicates that you are addicted to extensive and unproductive use of a smartphone, which leads to time wastage and energy drainage. Every morning when you wake up, if you check your phone before even greeting morning to your spouse, then you are in a problem. As , psychology professor and author of The Distracted Mind, pointed out: Larry Rosen Most people check their phone every 15 minutes or less, even if they have no alerts or notifications. We've built up this layer of anxiety surrounding our use of technology, that if we don't check in as often as we think we should, we're missing out. On top of this, this obsession rises every time dopamine kicks in. In a 2012 study, Harvard research scientists reported that talking about oneself through activates a pleasure sensation in the brain usually associated with food, money, and sex. social media This wild craving for smartphones can cause a variety of adverse effects: Short attention span: Microsoft Corp. carried research on the evolution of the . While highlighting the impacts of extensive internet exposure on the brain, they concluded that over the years, our average attention span has fallen from 12 seconds to 8 seconds. " " the report stated. human brain Heavy multi-screeners find it difficult to filter out irrelevant stimuli — they're more easily distracted by multiple streams of media, As a result, most of the tasks that demand our pure attention get compromised. in lecture halls. Even friends are staring at the phone while one of them speaks, and we no longer ponder over our thoughts when alone. Complicated tasks such as the seem more complex when you have a poor attention span. Compassionate friendships are not there anymore. Students are no longer able to concentrate dissertation structure Moreover, those quiet moments that are crucial for self-growth and creativity are now occupied by persistent push notifications. Fragile Relations: Our natural craving for healthy relationships has got replaced by a desire for virtual connections. This notion might portray real-life relationships less critical as compared to the ones we have online. We all have caught a glimpse of friends sitting together and staring at their smartphones. Moreover, kids these days prefer an hour with a mobile device instead of an outdoor game with their friends. Sadly, in some unimaginable ways. social media is impacting our relationships With materialism controlling our world, bragging about almost everything has become a routine work. Social media has promoted desperation for attention among the millennials. Because of this, the desire to do something for your friend or your spouse has got replaced by this obsession that makes you post everything online. Thus, we people plan trips with friends or surprise our spouses just to put it up online so that we can grab some likes and followers. Our entire focus is on seeking everyone's attention and impressing our virtual friends. Without even realizing it, we have compromised our real-world relationships. That overwhelming feeling of fullness is not there anymore. Thanks to dating apps, we have also lost the ability to strengthen our bonds. We have started to believe that a content relation can be developed by swiping right. Look, the thing is you cannot fall in love with someone or form a deep and meaningful relationship overnight. It demands consistency, sticking to your commitment, and practising those little things daily that matter. Impatience Today, nearly everything we want is just a few taps away. Anything you would like to have, go on Amazon, a couple of taps, and boom! It's at your door. Despite its perks, this swiftness has certain serious drawbacks as well. It has moulded an already impatient human being to be more restless. Simon Sinek, a famous motivational speaker, explains that we have become so fond of instant gratification that we have this idea of discovering a healthy relationship or a satisfying job. Whereas it's not about discovering a thing, it's about summiting a mountain. It's about the feeling you get on that summit. Contentment we are looking for requires hard work, help and it takes time. Mental health risks Consequential to the above-discussed issues, caused by smartphones are of grave concern. One might fall into the illusion of being delighted and satisfied because of being online. However, issues like are commonly found among social media users. mental health problems anxiety and depression Undoubtedly, most of us only post the highs of our lives on social media. Lows are exhibited only among close friends or family members. This dilemma initiates a depressing wave. As your audience on social media is only exposed to a brighter side of your life. Consequently, in the subconscious, they start comparing their life with yours. But as they are only considering the booming moments of your life as compared to the highs and lows of their lives, they end up in despair and self-hatred. As we often hear: "Too much of anything is bad." Same is the case with the usage of smartphones. Excessive consumption of online content, mainly social media, might give rise to stress or cause energy drainage. Final thoughts I believe it's time that we realize the adverse repercussions of free utilization of smartphones. And we must take a step back and revamp our smartphone use and place certain limit checks in our lives. This unfaltering obsession has to end!

Adverse Effects of Smartphone Addiction

Authors:
(1) AMINA A. ABDU, University of Michigan, USA;
(2) LAUREN M. CHAMBERS, University of California, Berkeley, USA;
(3) DEIRDRE K. MULLIGAN, University of California, Berkeley, USA;
(4) ABIGAIL Z. JACOBS, University of Michigan, USA. Authors: Authors: (1) AMINA A. ABDU, University of Michigan, USA; (2) LAUREN M. CHAMBERS, University of California, Berkeley, USA; (3) DEIRDRE K. MULLIGAN, University of California, Berkeley, USA; (4) ABIGAIL Z. JACOBS, University of Michigan, USA. Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2. Related Work 2. Related Work 3. Theoretical Lenses 3.1. Handoff Model 3.1. Handoff Model 3.2. Boundary objects 3.2. Boundary objects 4. Applying the Theoretical Lenses and 4.1 Handoff Triggers: New tech, new threats, new hype 4. Applying the Theoretical Lenses and 4.1 Handoff Triggers: New tech, new threats, new hype 4.2. Handoff Components: Shifting experts, techniques, and data 4.2. Handoff Components: Shifting experts, techniques, and data 4.3. Handoff Modes: Abstraction and constrained expertise 4.3. Handoff Modes: Abstraction and constrained expertise 4.4 Handoff Function: Interrogating the how and 4.5. Transparency artifacts at the boundaries: Spaghetti at the wall 4.4 Handoff Function: Interrogating the how and 4.5. Transparency artifacts at the boundaries: Spaghetti at the wall 5. Uncovering the Stakes of the Handoff 5. Uncovering the Stakes of the Handoff 5.1. Confidentiality is the tip of the iceberg 5.1. Confidentiality is the tip of the iceberg 5.2. Data Utility 5.2. Data Utility 5.3. Formalism 5.3. Formalism 5.4. Transparency 5.4. Transparency 5.5. Participation 5.5. Participation 6. Beyond the Census: Lessons for Transparency and Participation and 6.1 Lesson 1: The handoff lens is a critical tool for surfacing values 6. Beyond the Census: Lessons for Transparency and Participation and 6.1 Lesson 1: The handoff lens is a critical tool for surfacing values 6.2 Lesson 2: Beware objects without experts 6.2 Lesson 2: Beware objects without experts 6.3 Lesson 3: Transparency and participation should center values and policy 6.3 Lesson 3: Transparency and participation should center values and policy 7. Conclusion 7. Conclusion 8. Research Ethics and Social Impact 8.1. Ethical concerns 8.1. Ethical concerns 8.2. Positionality 8.2. Positionality 8.3. Adverse impact statement 8.3. Adverse impact statement Acknowledgments and References Acknowledgments and References Emerging discussions on the responsible government use of algorithmic technologies propose transparency and public participation as key mechanisms for preserving accountability and trust. But in practice, the adoption and use of any technology shifts the social, organizational, and political context in which it is embedded. Therefore translating transparency and participation efforts into meaningful, effective accountability must take into account these shifts. We adopt two theoretical frames, Mulligan and Nissenbaum’s handoff model and Star and Griesemer’s boundary objects, to reveal such shifts during the U.S. Census Bureau’s adoption of differential privacy (DP) in its updated disclosure avoidance system (DAS) for the 2020 census. This update preserved (and arguably strengthened) the confidentiality protections that the Bureau is mandated to uphold, and the Bureau engaged in a range of activities to facilitate public understanding of and participation in the system design process. Using publicly available documents concerning the Census’ implementation of DP, this case study seeks to expand our understanding of how technical shifts implicate values, how such shifts can afford (or fail to afford) greater transparency and participation in system design, and the importance of localized expertise throughout. We present three lessons from this case study toward grounding understandings of algorithmic transparency and participation: (1) efforts towards transparency and participation in algorithmic governance must center values and policy decisions, not just technical design decisions; (2) the handoff model is a useful tool for revealing how such values may be cloaked beneath technical decisions; and (3) boundary objects alone cannot bridge distant communities without trusted experts traveling alongside to broker their adoption. 1 INTRODUCTION Recent work on values in technology attempts to understand how technological changes can produce fairer, more accountable, and more trustworthy systems [38, 78, 110]. Transparency and participatory design are often proposed to advance these goals in both academic work and policy [16, 26, 27, 44, 67]. However, scholars, critics, and advocates have raised complications and limitations of transparency and participation, particularly when adopted uncritically [13, 30, 33, 112]. We argue that prevailing models of algorithmic transparency and participation stand to benefit from sociotechnical analysis of transparency and participation on-the-ground. As such, we focus on a single case study: the adoption of differential privacy in the 2020 Decennial Census. Differential privacy (DP) is a mathematical definition of privacy that leverages statistical uncertainty to provably limit leakage of any individual’s sensitive information– in other words, random noise is added to data in order to reduce the possibility for re-identification [43]. Under the leadership of Chief Scientist John Abowd, the Census Bureau implemented DP in its 2020 disclosure avoidance system (DAS), the mechanism used to manipulate census response data prior to publication to ensure confidentiality in accordance with Title 13.[1] Notably, the technical affordances of DP allowed the Bureau to make details of the DAS public for the first time without undermining confidentiality. The Bureau embraced this possibility, introducing many innovations in transparency and attempting to facilitate participation from a wide variety of experts and the public. Despite these significant efforts, this newfound transparency did not produce the accountability and trust the Bureau hoped to engender [59, 71, 95, 97]. The resulting controversy attracted the attention of critical scholars, who have attempted to adjudicate its history and implications [18, 19, 92]. We build upon this literature; by employing the handoff lens [90], we parse out how a seemingly technological transition - from its previous statistical disclosure (SDL) methods to DP - in fact altered the very function of disclosure avoidance as the Bureau’s methods, experts, and values were reconfigured. Drawing on this case study, we demonstrate the utility of the handoff model for addressing calls from the critical algorithmic transparency literature to examine transparency in context. In particular, we show that the handoff model makes visible where decisions about values are embedded within sociotechnical systems and identifies the configurations of human actors surrounding these decisions. Our contribution is three-fold. First, we shed new insight on a case that has been of significant interest to both researchers and policymakers. We provide an account of the specific values decisions at the core of the adoption of DP and how participation was limited in these decisions despite significant efforts. Second, we argue that values should be at the center of transparency and participation efforts and demonstrate the utility of the handoff model for eliciting these values. Finally, we highlight the need for understanding the role of experts in transparency and participation processes. While the literature has focused on developing documentation artifacts for transparency and participation, the census case highlights the insufficiency of artifacts alone to facilitate meaningful participation. Trusted individuals with requisite expertise must exist, within stakeholder communities, in order for such artifacts to be understood and adopted. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. This paper is available on arxiv under CC BY-NC-SA 4.0 DEED license. available on arxiv available on arxiv [1] The Census Bureau is obligated to protect the privacy and confidentiality of individual data according to Title 13 of the U.S. Code

Dear Public, We Added Noise to Your Data. Love, the Government

ደንበኞች, የእርስዎ ውሂብ ላይ ሩፍ አግኝቷል.

Kære offentlighed, Vi har tilføjet støj til dine data.

Αγαπημένο κοινό, προσθέσαμε θόρυβο στα δεδομένα σας. αγάπη, η κυβέρνηση

Querido público, hemos añadido ruido a sus datos. amor, el gobierno

親愛なる市民、私たちはあなたのデータにノイズを追加しました 愛し、政府

សូមអរគុណអ្នកអាជីវកម្មយើងបានបន្ថែមសេចក្តីអធិប្បាយដល់ទិន្នន័យរបស់អ្នក. Love, the Government

친애하는 대중, 우리는 귀하의 데이터에 소음을 추가했습니다.

Miarahaba ny vahoaka, dia nanampy feo ho an'ny angon-drakitrao izahay.

Awam terkasih, kami menambah bunyi kepada data anda. cinta, kerajaan

Drogi publiczności, dodaliśmy hałas do Twoich danych.

Caro público, adicionamos ruído aos seus dados. amor, o governo

پیارے عوام، ہم نے آپ کے اعداد و شمار کو ہلکا اضافہ کیا. محبت، حکومت

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