Meta has partnered with Broadcom to co-develop next gen MTIA chips that would power AI across Meta apps and services. > Meta Training and InferenceAccelerator
COMPUTING
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Claude Opus 4.7 release imminent per The Information
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Claude Opus 4.7 release imminent, per The Information
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AI System Optimizes Blackwell 200 GPUs Achieving 2x Speedups
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The system learned to optimize Blackwell 200 GPUs from scratch, independently arriving at distinct optimization strategies across a long-tail of kernel problems. It outperformed baselines on 63% of problems and delivered more than 2x speedups on 19% of them.
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Multi-Agent System Optimizes CUDA Kernels for GPU Efficiency
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The multi-agent system delivered optimizations that typically take experienced kernel engineers months or years. CUDA kernels are the core software supporting model training and inference. Faster kernels mean better GPU utilization and cheaper token costs.
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Multi-Agent System Achieves 38% CUDA Kernel Speedup
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We've been developing a multi-agent system that builds and maintains complex software autonomously. Recently, we partnered with NVIDIA to apply it to optimizing CUDA kernels. In 3 weeks, it delivered a 38% geomean speedup across 235 problems.
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Robots Transform Kitchen: Automation and Culinary Innovation
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#Robots Take Over the Kitchen: #Automation Meets Cooking
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @lukas_m_ziegler#Robotics #EmergingTech #Technology #Innovation #TechForGood pic.twitter.com/BbBTx2uun4#Robots Take Over the Kitchen: #Automation Meets Cooking
by @lukas_m_ziegler #Robotics #EmergingTech #Technology #Innovation #TechForGood -
Sub-second response times critical for safety-critical energy systems
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For safety-critical energy systems where consequences of bad decisions are physical, not computational, sub-second response time isn't optional.
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Edge Compute Software Infrastructure for Distributed AI Model Deployment
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Edge compute requires not just hardware, but software infrastructure that can support model deployment, monitoring, and updates across distributed sites.
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Edge Computing Enables Real-Time AI Decisions at Data Source
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Conventional approach: send data to cloud, wait for response. Energy reality: decisions need to happen in under a second. Intelligence has to run where the data originates through edge compute infrastructure. Partner content with @IOTechSystems. #iotechsys_iiot pic.twitter.com/dNxyIWtxdY
— Lucian Fogoros (@fogoros) 14 avril 2026Conventional approach: send data to cloud, wait for response. Energy reality: decisions need to happen in under a second. Intelligence has to run where the data originates through edge compute infrastructure. Partner content with @IOTechSystems
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EngineAI T800 Humanoid Robot Powers Precision Engineering
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EngineAI’s T800 Brings Power and Precision to Humanoid #Robots
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @TheHumanoidHub#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/pdFL1OzlHmEngineAI’s T800 Brings Power and Precision to Humanoid #Robots
by @TheHumanoidHub #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology