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DeepMind has developed a new robot capable of playing table tennis at an impressive level. The robot, designed to interact with human players, has showcased significant advancements in AI and robotics, particularly in the areas of real-time decision-making and adaptability. @science #AI #DeepMind

https://buff.ly/4aOCQoS These #Robots outperform most people in blocking volleyball by @gigadgets_ #AI #ArtificialIntelligence #MI #Robotics cc: @akwyz @severinelienard @danielnewmanuv https://buff.ly/4aOCQoS Follow Carlos Durán to stay up to date with tech and the latest news. #ai #tech #innovation #breaking #news

A thought-provoking question for all the futurists and sci-fi enthusiasts out there! Can the classic laws of robotics be safely applied to AI? A Sci-fi, fan myself, I find it a fantastical world where we witness the audacity of imagination that often paves the path for future innovation. While some elements might seem far-fetched today, it's fascinating to explore the "what ifs" of tomorrow. As we all know, sci-fi is crawling with rogue AIs! From HAL 9000 in 2001: A Space Odyssey to Skynet in the Terminator series, these sentient machines have caused chaos and destruction. And who can forget The Matrix, where machines control humanity in a simulated reality? Not exactly a vacation package you'd want. So, indulge in this thought experiment - can the classic laws of robotics be safely applied to AI? Share your thoughts in the comments below! #SciFi #AI #Robotics #FutureInnovation

The most important AI announcement from Nvidia's GTC event. Project GR00T: Project GR00T is an initiative to create a general-purpose foundation model for humanoid robot learning. It enables humanoids to learn from a handful of demonstrations to emulate human movements just from observation. Nvidia is on a journey to solve embodied AGI in the physical world. Pair this with Figure’s recent partnership with OpenAI to equip humanoid robots with the capability to complete real-world tasks fully autonomously, and we have a lot to look forward to. 💡 Want to stay on the cutting edge of AI? Follow me Alex Banks and join 40,000+ others in my Sunday Signal newsletter: https://lnkd.in/dPNxW8-Y You'll get the latest AI updates, 1 article, 1 idea, 1 quote and 1 question to ponder in your inbox every Sunday.

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The acceleration and convergence of AI, robotics and neurotechnology are IMO going to fundamentally re-write what it means to be human in the next 10-20 years. Data, compute and power will engulf the world. Humanity will continue to advance and spread intelligence across the universe, unless of course we destroy ourselves first. What a spicy time to be alive. 👾

What was the name of the AI program that defeated world champion Garry Kasparov in chess in 1997? a) AlphaGo b) Watson c) Deep Blue d) Stockfish What's your guess? #AIRevolution #MachineLearningMagic #DeepLearningDigest #ReinforcementLearning #AITrends #MLInnovation #DataScienceDaily #RoboticsRev #NeuralNetworks #TechForGood #SmartTech #FutureOfWork #AIForAll #CognitiveComputing #AIStartups #EthicalAI

While China is dominating the table tennis events at the Paris Olympics, Google DeepMind's AI-powered robot is making waves by achieving "amateur human-level performance" in the sport. In a recent Arxiv paper, DeepMind shared how their racket-wielding robot, equipped with a 3D-printed paddle, played 29 games against human opponents of varying skill levels. The results? It won 100% of matches against beginners, 55% against intermediates, but lost to all advanced players. This achievement is a significant step toward human-level speed and performance in real-world tasks, a "north star" for robotics. The project’s success was driven by innovative techniques like real-time adaptation to unseen opponents and zero-shot sim-to-real learning. While not yet an Olympic contender, DeepMind’s robot demonstrates the potential of AI in mastering complex tasks and might just reshape how we interact with technology in the future. #AI #DeepMind #Robotics #TableTennis #Innovation

How Robots Learned Soccer DeepMind's robots are the new stars, but they didn't need fancy programming. These little bots learned soccer entirely by themselves! They used a technique called deep reinforcement learning, basically trial and error on fast forward. Imagine witnessing their fumbles turn into winning goals – that's the power of AI learning. This breakthrough isn't just about robot soccer. It showcases the potential of AI to learn and adapt in complex environments. It shows AI can tackle real-world problems in innovative ways. The future of AI is bright, and the beautiful game just got a robotic twist. THE ABRAHAMIC BUSINESS CIRCLE Tactical Management Nagel & Partners #machinelearning #artificalIntelligence #robotics #robots #innovation