New #AI system helps #Robots transfer virtual training into real-world tasks
by Neetika Walter @IntEngineering Learn more: https://
bit.ly/3QTVw17 #Robotics #Technology #Engineering #Innovation
@ronald_vanloon
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AI system helps robots transfer virtual training to real-world tasks
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DeepMind’s self-improving AI takes on the table tennis challenge
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DeepMind’s Self-Improving Table Tennis #AI Takes on the Game
— Ronald van Loon (@Ronald_vanLoon) 9 juin 2026
via @ZappyZappy7#Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation pic.twitter.com/00ZBjkWjtrDeepMind's self-improving table tennis #AI takes on the game challenge via @ZappyZappy7 #Robotics #MachineLearning #ArtificialIntelligence #ML #Innovation
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AI worm adapts across networks, targets any device
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#AI worm adapts across networks, turning any online device into potential target
by Adina Bresge @TechXplore_com Learn more: https://
bit.ly/4dQacaD #CyberSecurity #ArtificialIntelligence #InfoSec -
AI leaders urge stronger protections against AI-assisted bioweapons
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#AI leaders call for tougher protections against AI-aided bioweapons
by Robert Hart @verge Learn more: https://
bit.ly/3RMUcgZ #ArtificialIntelligence #MachineLearning #ML #FutureOfWork -
AI fitness coach detects bad form in real time to prevent injuries
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New #AI fitness coach explains bad form in real time to help prevent injuries
by Drexel University @TechXplore_com Learn more: https://
bit.ly/4oaF1tV #MedTech #HealthTech #Tech #TechForGood #ArtificialIntelligence -
ABB Robotics integrates NVIDIA Omniverse to train robots with 99% accuracy
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ABB #Robotics Integrates NVIDIA Omniverse to Train Industrial #Robots with 99% Accuracy
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
by @ABBRobotics
#Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/QUP0MAriKlABB #Robotics integrates NVIDIA Omniverse to train industrial #Robots with 99% accuracy
by @ABBRobotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Tau Scaling: AI inference as system-level time problem in post-Moore era
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My takeaway: AI inference is no longer just a model problem. It's a system-level time problem. For enterprise leaders, AI performance and AI economics are becoming inseparable. Learn more about Tau Scaling and what it means for the post-Moore era: https://
chinaxiv.org/abs/202605.002
24?locale=en
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AI inference is a latency problem, not throughput
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Why does this matter for AI inference specifically? Training = throughput problem. Inference = latency problem. When a user talks to an AI assistant, tokens have to return fast. Latency, memory access, bandwidth, and interconnect all matter, not just raw compute. In large AI
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Huawei’s Tau Scaling Law redefines AI inference bottleneck
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/MvwfNu7ZisMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner
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AI shifts from reactive programming to proactive orchestration
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The deeper shift is from reactive programming to proactive orchestration, where AI anticipates needs rather than just responds. It's about designing systems that learn intent, not just behavior.