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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/

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Middle East AI News Minute - 30-Aug-23

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

I see a dog.

Glitches made with David Foerster by compiling:
https://github.com/gordol/ld_preload-sounds

Sample of Teaching Kinect to recognize objects on the PC
https://youtu.be/fQ59dXOo63o

I see a dog

In this episode, Luca discusses how AI affects our lives at the moment and if there was an award for the best AI, who would win?

How Does AI Affect Our Daily Lives?

In this episode of the SuperDataScience Podcast, I chat with Stephen Welch, a computer vision and neural networks expert who will share a ton of information about the space of self-driving cars. You will learn about self-driving cars starting from the history of neural networks and how that was associated with self-driving cars from the '60s, '70s, '80s and all the way until now. You'll also learn about autonomous driving and the three components in the neural networks related to autonomous driving and what they are and how they work. You will find out about the five different levels of autonomous driving and what to expect in the next 10-20 years. You will hear a case study of how machine learning can be applied to historically older industries and you will also hear some very valuable career advice.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/259

The Super Data Science Podcast: Big Data | Analytics Careers | Mentors | Success

SDS 259: Building Machine Autonomy With Neural Networks

This is the sound recording of a talk I gave at King's College London in December 2018 on the topic of computational spectatorship.

See more here: https://blogs.kcl.ac.uk/ddh/2018/11/19/event-seen-by-machine-computational-spectatorship-and-the-bbc-archive/

Seen by Machine: Computational Spectatroship in the BBC archive

In this episode of the SuperDataScience Podcast, I chat with the Founder and Director of Digital Strategy at Webfor, Kevin Getch. You will learn what digital assistants are and where they're going with the help of people like Ray Kurzweil at Google. You will hear Kevin's philosophy on 'what gets measured gets managed' and what it means for marketing and data science. You will also learn why websites are less and less important, how segmentation is slowly transitioning to personalization, creating amazing customer experiences, disk profiles, natural language processing, and computer vision and their role in the future of marketing.

If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/281

SDS 281: Futureproofing Your Digital Marketing Tactics

Alex is CTO and co-founder of MoonVision. He studied electrical engineering and worked on control systems for 7 years. In 2014 he founded the Ethereum meetup in Vienna. During his MBA in California, he developed models for the California Policy Research Center.

His master thesis on machine learning with encrypted data was interrupted by the founding story of MoonVision. In 2016 the to-be founders won the Audi Smart Factory Hackathon with a computer vision solution. By today, MoonVision provides visual intelligence as white-label solution. Its technology is designed for continuous learning of inspection and counting tasks at industrial scale.

Computer Vision in Production - Alexander Hirner

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.

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.

Beautifeye is an Artificial Intelligence startup extracting insights from visual information.

Emerging from the weight of a collapsing intergalactic civilisation, Disaster Girl treks the universe exercising creative powers of biting-poetry, alt-music, super-movement and high-tech-visualisations to breakdown the hyper-industrial system.

Computer Vision in Production is a Technology community for working professionals, aspiring engineers and business owners.

The main goal of this community is to have a place where Computer Vision Professionals could meet, talk about their projects, experience and Learns using Computer Vision Technology for building intelligent assistants.

We believe that by connecting the best engineers together in a learning environment will spark innovation and pave the path for us to see even more Computer Vision in Production.

The Computer Vision in Production Podcast is brought to you by SOD.AI.

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