Are AI soldiers about to take over the battlefield? | DW News piped.video/q83LtZza5eA?si=pEgB… via @YouTube #battlefield #AISoldier #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @PawlowskiMario @chidambara09 @Ym78200 @CurieuxExplorer @efipm @bigfundu @sayedflah @Ronald_vanLoon @cyngn @belindabeibi @odisseiaalfa @DigitalColmer @MyCompanionsAI @KirkDBorne @patricegorissen @jeffkagan @EdwardKens50830 @enilev @insom_ai333 @ChrisCCrowley @sallyeaves @gurmeet_judge @VairagyaSadhana @andresvilarino @amomsimpression @amit6060 @0xAmol @OfficialDabier
HARDWARE
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Ranking of Companies Shipping the Most Humanoid Robots
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Ranked: The Companies Shipping the Most Humanoid Robots 🤖 https://www.visualcapitalist.com/ranked-the-companies-shipping-the-worlds-humanoid-robots/ [Image] [Translated from EN to English]
→ View original post on X — @deeplearn007, 2026-04-06 01:01 UTC
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China’s Robot-Run Elderly Care Centre: AI Caregiving Innovation
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China's Robot-Run Elderly Care Centre | AI Caregiving | Tech It Out piped.video/JdxBHw59_NQ?si=ilhm… via @YouTube #eldercare #healthcare #humanoidtech #humanoid #robot #Robotics #AI #TechRevolution #TechInnovation #ArtificialInteligence #PhysicalAI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA @TanyaSinha_ @devaang @AlAmadi1 @jeancayeux @enilev @efipm @mvollmer1 @Nicochan33 @RagusoSergio @FrRonconi @Shi4Tech @sallyeaves @LaurentAlaus @Fabriziobustama @smaksked @MargaretSiegien @PawlowskiMario @gvalan @Ym78200 @mikeflache @EduardoValenteI @ipfconline1 @kalydeoo @chboursin @cleartechtoday @SpirosMargaris
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Boston Dynamics-Google DeepMind Alliance Transforms Physical AI
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The Rise of Physical #AI: Why the Boston Dynamics–Google DeepMind Alliance Changes Everything buff.ly/JJB3fsE v/ @UniteAi Cc @DeepLearn007 @Fisher85M @sallyeaves @AkwyZ @Fabriziobustama @enilev @Nicochan33 @EvanKirstel @ahier
→ View original post on X — @nicochan33, 2026-04-05 23:00 UTC
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AI Glasses Product Fails to Support User Diopter Requirements
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They don’t work on my eyes at all. Don’t support my diopter. Shitty product.
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Connected devices transforming industrial plant operations and manufacturing
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Connected devices are reshaping plant operations. Anyone running into this yet? @IIoT_World @CRudinschi @agentic_factory @fabot70 @gp_pulipaka @jblefevre60
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TurboQuant-GPU: 5x KV Cache Compression for Any GPU
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pip install turboquant-gpu 5.02x KV cache compression for ANY GPU (RTX, H100, A100, B200) – works over @huggingface transformers – dead-simple API: compress + generate in 3 lines – 3-bit Lloyd-Max fused KV compression (0.98 cosine similarity) – outperforms MXFP4 (3.76x) and NVFP4 (3.56x) on compression Ran Mistral-7B: 1,408 KB → 275 KB KV cache (5.02x) Quickstart: github.com/DevTechJr/turboqu… Written in cuTile (CUDA 12, 13) with PyTorch fallbacks
→ View original post on X — @huggingface, 2026-04-05 19:30 UTC
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NAVIAI-I3: Zhejiang’s Next-Generation Robust Humanoid Robot Launch
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NAVIAI-I3: Zhejiang’s Next-Gen Robust Humanoid #Robot Launch
— Ronald van Loon (@Ronald_vanLoon) 5 avril 2026
by @CyberRobooo#Robotics #MachineLearning #ArtificialIntelligence #AI #ML pic.twitter.com/tLo6QmY9tVNAVIAI-I3: Zhejiang’s Next-Gen Robust Humanoid #Robot Launch
by @CyberRobooo #Robotics #MachineLearning #ArtificialIntelligence #AI #ML -
Edge Computing and Local LLMs: The Future of AI Privacy
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Been playing with Gemma running locally on my Pixel phone and it feels magical. To think that years ago we could not remotely imagine such a powerful LLM running in your pocket with no connectivity whatsoever. I wonder how many scenarios for LLMs will start shifting the cost to the edge to get "free" computing with added privacy and control over your data. I can't imagine how companies that only monetize inferencing and nothing else will stay above the water. Either they make/sell hardware or they must add value on top of it, otherwise they become mostly an inconvenience in the middle.
→ View original post on X — @clementdelangue, 2026-04-05 18:31 UTC
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Fine-tuning Gemma on TPU v5 with Kinetic, Keras and JAX
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Tutorial on fine tuning Gemma on TPU v5 using Kinetic + Keras + JAX. Easiest stack to fully leverage TPUs at scale. Jigyasa Grover ✨ (@jigyasa_grover) Here is a quick start script including the setup, technical details, and a candid look at where Kinetic excels versus its current limitations 🪡 github.com/jigyasa-grover/ki… — https://nitter.net/jigyasa_grover/status/2038707745520812099#m