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Hyperspectral cameras can see beyond visible light (what we see) and can be used for a variety of applications including in agriculture for higher quality products and to prevent diseases. Combined with AI, the possibilities are endless. We chat about Jun’s current research, challenges, and future career opportunities with this rapidly evolving technology.

Did you enjoy this, or could we do better? Let us know: https://forms.office.com/r/WuuJuMFTvE

Meet Prof. Jun Zhou - Hyperspectral Imaging, AI, Research and Career

Middle East AI News Minute - brought to you by Carrington Malin - Marketing for an AI First World. In this podcast: Oman's Shura council elections; DNATA's AI-powered cargo system; New US counter-drone exercises in Saudi Arabia.

Sign-up for the weekly email news digest here:
https://middleeastainews.substack.com/

#MiddleEastAINews

Middle East AI News Minute - 30-Aug-23

אנחנו רגילים שבאינטרנט עוקבים אחרינו, לקבל פרסומות פרסונליות ואנליטיקות משוכללות. בעלי אתרי האינטרנט יודעים לנתח כל תנועה וקליק של המבקרים, אבל מה לגבי קניות פיזיות? 

בעולם הקמעונאי יש הרבה פחות יכולת לדעת מתי לקוחות נוטשים, אופן ההתנהגות שלהם בחנויות, איזו פרסומת עבדה טוב יותר או פחות. הכל נעשה באמצעות סקרים ודוחות לא יעילים שלא באמת מבטאים את המציאות כמו שהיא. ההתפתחויות הטכנולוגיות, בעיקר קומפיוטר ויז'ן ובינה מלאכותית, מאפשרים לקמעונאים בפרט ולעולם הפיזי בכלל לאסוף מידע על התנהגותם של אנשים בחנויות ולהפוך אותו לנתונים שאפשר לאחר מכן לנתח ולהוציא תובנות. 

היום בהייטק בפקקים מבית סטארט-אפ ניישון סנטרל שוחחנו עם לנור דניאל, מנכ"לית ומייסדת שותפה בחברת שופר-איי-איי, שסיפרה על ההתפתחויות הטכנולוגיות שמאפשרות את המציאות הזו. דיברנו על איך זה עובד, מה אפשר לגלות ועל ניתוח העולם מחוץ לאינטרנט באותו האופן שבו הוא מתרחש בתוך אינטרנט.

המעקב הדיגיטלי מגיע לחנויות פיזיות

Coded bias, intersectionality in AI, and computer vision: Founder of the Algorithmic Justice League Joy Buolamwini talks to host Jon Krohn about the impact of exclusion and inclusion in datasets, the need to address intersectionality when identifying racial, age, or gender-based prejudice in machine learning tools, protections for artists and creative practitioners against AI, and the role that AI may have in combating systemic racism.

This episode is brought to you by Gurobi (https://gurobi.com/sds), the Decision Intelligence Leader, and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• What coded bias is [06:49]
• The problem with bias in machine learning datasets [18:41]
• The Incoding Movement [42:08]
• About the Pilot Parliaments Benchmark [52:07]
• Ethics and the future of AI [1:20:10]
• The potential for AI to end systemic racism [1:32:59]

Additional materials: www.superdatascience.com/727

The Super Data Science Podcast: Machine Learning | AI | Success

727: Unmasking A.I. Injustice, with Dr. Joy Buolamwini

Hello and welcome to AI Tech News Today! It’s October tenth, two thousand twenty-four, and we have some exciting updates in the world of Artificial Intelligence for you. Let’s dive right in.

Zoom’s AI avatars to replace people in meetings? 
In a bold move, Zoom announced during its annual developer conference that it's developing AI-generated avatars that can serve as substitutes for people in meetings. Users will record a video of themselves, which the AI will then transform into a digital clone that mimics their appearance and voice. These avatars, available early next year, aim to make team communications smoother by facilitating asynchronous updates. However, the technology raises concerns about potential misuse, such as deepfakes. Zoom reassured users that safeguards will be implemented, but other AI companies have stricter measures in place to protect user consent.

Faster parcel delivery with Amazon’s AI
Amazon is rolling out its new Vision-Assisted Package Retrieval system, or VAPR for short, to expedite package delivery times by thirty percent! This system uses computer vision technology to identify delivery packages in the back of trucks. When the delivery vehicle arrives at a location, VAPR will highlight the right packages with a green light while marking others with a red cross. Currently, Amazon plans to install this system in one thousand electric vans by early twenty twenty-five.

More global offices for OpenAI
In a strategic move for international expansion, OpenAI will open new offices in Singapore, Paris, and Brussels. The Paris office aims to tap into the rich pool of AI talent in the region, while Brussels offers a unique vantage point as a leader in AI regulation. With the new Singapore office, OpenAI is looking to enhance its presence in Asia, where user engagement with models like ChatGPT is remarkably high.

JustEat's ads get smarter
JustEat, the globally renowned online food delivery service, is partnering with the AI company Rokt to enhance their post-order advertisements. Rokt’s technology will allow JustEat to deliver personalized ads to its eighty-two million customers while they are engaging with their orders. This strategy aims to provide users with relevant shopping experiences, which could increase conversion rates significantly.

That wraps up today’s news! As the field of Artificial Intelligence continues to evolve rapidly, we encourage you to stay informed and keep tuning in to AI Tech News Today. Until next time, stay curious and keep exploring the endless possibilities of AI!

Zoom Unveils AI Avatars for Meetings, Amazon Boosts Delivery Efficiency, and OpenAI Expands Internationally

Chaque année, les équipes du Loria s'enrichissent avec l'arrivée de nouveaux chercheurs et enseignants-chercheurs. Nous leur souhaitons la bienvenue et nous vous invitons à découvrir en quelques minutes leurs parcours et projets !

Vincent Gaudillière est spécialiste en vision par ordinateur et nouveau Maître de Conférences de l’Université de Lorraine. Il enseigne à la Faculté des Sciences et Technologies et mène ses travaux de recherche au Loria, dans l’équipe Tangram depuis septembre 2024.

Il s’intéresse au problème de l’identification automatique du point de vue d’une caméra à partir des éléments présents dans une image. Dans ses travaux actuels, il intègre l’utilisation de grands modèles vision-langage pour soumettre les images à des analyses multimodales. Celles-ci, combinées éventuellement à des analyses purement visuelles, lui permettent d’envisager une étude des images plus précise et efficace, notamment lorsqu’il s’agit d’environnements complexes et inconnus. 

Originaire de Dijon, son parcours professionnel l’a fait passer par Grenoble, Lausanne, Nancy et le Luxembourg, avant de retourner à Nancy, en tant que membre permanent du Loria.

Découvrez dans ce podcast son parcours et ses recherches.

Bienvenue à bord ! - Interview de Vincent Gaudillière

Welcome to AI with Shaily, hosted by Shailendra Kumar, where the latest breakthroughs in artificial intelligence are explored with enthusiasm and insight! 🎙️ Today’s episode dives into an exciting intersection of AI and baseball, showcasing how technology is revolutionizing the sport in ways you might never have imagined. ⚾🤖

Shailendra introduces a remarkable AI-powered tool developed by PitcherNet that’s currently being used by the Baltimore Orioles. What makes this tool extraordinary is its ability to analyze pitch velocity and precisely identify the release point of a pitcher’s throw using just smartphone footage. 📱✨ Traditionally, teams relied on expensive, stadium-grade systems like Hawk-Eye, which come with hefty price tags. But now, thanks to AI, similar high-quality insights can be gleaned from everyday videos captured on a simple phone camera. This is a huge leap toward making advanced sports analytics accessible to everyone! 💡💸

One of the biggest challenges in analyzing baseball pitches is motion blur—fast-moving balls often appear blurry on low-resolution video, making it hard to study the mechanics. Yet, PitcherNet’s AI uses sophisticated computer vision techniques to penetrate this blur, extracting detailed data about player biomechanics and pitching mechanics. This isn’t just a win for Major League Baseball stars; it’s a game-changer for scouts and coaches at the minor league and college levels who previously lacked access to such technology. Now, scouting and coaching can happen anywhere, anytime, with just a smartphone in hand. 🌍📊

Shaily emphasizes how this democratization of sports technology is more than a fleeting trend. With the Orioles investing joint funding to expand this tech in 2025, it’s clear that AI is becoming a vital tool not only for enhancing performance but also for preventing injuries by closely monitoring player mechanics. 🏥⚙️

For coaches and scouts working with limited resources, Shailendra offers practical advice: start recording regular practice sessions with your phone and experiment with motion analysis apps. Even if you don’t have access to PitcherNet’s system, adopting video-based biomechanical assessments can help uncover hidden potential in athletes and reduce injury risks. 🎥📈

To spark further thought, Shaily invites listeners to imagine other sports or fields where this kind of low-cost, AI-driven innovation could take hold. The idea of turning everyday devices into powerful analytical tools opens a world of possibilities beyond baseball. 🌟🤔

Closing the episode, Shailendra shares an inspiring quote from Steve Jobs: "Technology alone is not enough. It’s technology married with liberal arts, married with the humanities, that yields us the results that make our hearts sing." This reminds us that human creativity combined with AI’s capabilities is the true driver of meaningful progress. ❤️🧠

Don’t forget to follow Shailendra Kumar on YouTube, Twitter, LinkedIn, and Medium for more cutting-edge AI news and insights. Subscribe to AI with Shaily and share your thoughts on how AI is reshaping your favorite sport or hobby—Shaily loves hearing from his audience! 📲💬

This has been AI with Shaily, bringing the future right to your ears. Until next time, keep exploring the amazing world of AI! 🚀🎧

AI at the Ballpark: How Smartphones and AI Are Revolutionizing Baseball Scouting

Welcome to your Weekly AI News Roundup! 🤖 Hosted by Shailendra Kumar (Shaily), this week’s episode (Week starting March 23, 2025) is packed with the latest machine learning developments and deep learning breakthroughs reshaping industries worldwide.

We kick off with Databricks unveiling Databricks One—a groundbreaking platform putting data analytics and Artificial Intelligence in the hands of everyone (not just techies!), radically accelerating business innovation. 🏢 Shaily explores how this democratization lets every employee use AI-driven analytics, upping your team’s data intelligence.

Next, we spotlight CVPR 2025’s advances in 3D evaluation and computer vision—from smarter robots to autonomous vehicles, AI is bridging the gap between perception and decision-making. For researchers and developers, Frontiers research into neural network sharpness and black-box adversarial attacks brings vital insights on making AI models more robust and reliable.

Machine Learning Week 2025 celebrates how generative AI and predictive AI now work hand-in-hand, transforming fields from finance to healthcare. Special focus lands on healthcare partnerships like X-Chem and Orion Pharma: AI-driven drug discovery is boosting outcomes and speeding up breakthroughs! 💊

Shaily’s expert take? When AI is practical and accessible, real impact follows. || Don’t miss out! Subscribe for crisp, weekly Artificial Intelligence and machine learning updates, and follow for more on YouTube, Twitter, LinkedIn, or Medium. 🚀

🚀 AI News with Shaily for Week starting June 16: Is Databricks One the Key to Democratizing AI?

The Middle East AI News Minute gives you a daily one-minute daily briefing on the top AI-related stories coming out of the Middle East. If you are a busy technology, business or government leader who want to get a quick update, then this is the podcast for you.

Personal stories, latest research, and career advice from the talented people in our Griffith University School of ICT Community.

Le Loria, Laboratoire lorrain de Recherche en Informatique et ses Applications est une Unité Mixte de Recherche (UMR 7503), commune à plusieurs établissements : le CNRS, l’Université de Lorraine et Inria.

Depuis sa création en 1997, le Loria a pour mission la recherche fondamentale et appliquée en sciences informatiques.

Plus d'informations sur notre site : Loria.fr

***

Loria, the Lorraine Laboratory for Research in Computer Science and its Applications, is a Joint Research Unit (UMR 7503), shared by several institutions: the CNRS, the University of Lorraine and Inria.

Since its creation in 1997, Loria's mission is to conduct fundamental and applied research in computer science.

For more information, please visite our website : Loria.fr

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

יזמות, סטארט-אפים, טכנולוגיה והעתיד.
התכנית של האקו-סיסטם של ההייטק הישראלי מבית Startup Nation Central ובשיתוף ״כלכליסט״ ואצטדיון הסטארטאפ.
עולים עם תכנית חדשה בכל יום חמישי ב 12:00.
מוזמנים לצפות בנו בפייסבוק לייב של כלכליסט 
ולהצטרף לקבוצת הדיונים שלנו - 
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