When Mobility Learns to Think — A New Chapter for Human Independence Autonomous exoskeletons are no longer science fiction. They’re becoming powerful mobility partners for people with disabilities — blending robotics, sensors, and AI to support real-world movement with
HARDWARE
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Robot differentiation through low-power AI inferencing chips like Ambiq
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Someone replied to this and said "why aren't you working on the robots?" The differentiator for the robots will be chips to make the robot smarter. Another company to watch is @Ambiq_AI which makes very small AI inferencing chips that use very little power. Going to be running
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San Diego team builds self-driving system with smartphone chip
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You need $100 billion to solve self-driving?
Not anymore. While tech giants pour unimaginable sums into autonomous driving, a small engineering team in San Diego is flipping the narrative: They’re building a self-driving system using nothing more than a smartphone-grade chip -
nanoGPT: First LLM Training and Inference in Space
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nanoGPT – the first LLM to train and inference in space . It begins.
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Brilliant Roboticist Teams Building Efficient Systems
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Excellemt summary Lukas. Like @DynaRobotics and @SundayRobotics, @AmbiRobotics is led by a brilliant team of roboticists and engineers laser-focused on building systems that work efficiently in the real world to capture avalanches of real robot data for learning. https://t.co/NvUWdaNWWI
— Ken Goldberg (@Ken_Goldberg) 10 décembre 2025Excellent summary Lukas. Like @DynaRobotics and @SundayRobotics, @AmbiRobotics is led by a brilliant team of roboticists and engineers laser-focused on building systems that work efficiently in the real world to capture avalanches of real robot data for learning.
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Advantech Europa AIPU Powers Next-Gen Edge AI Modules
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@Advantech_eIoT
+ Axelera AI = next-gen Edge AI. We’re powering Advantech’s new AI modules with our Europa AIPU, delivering up to 629 TOPS & 164GB LPDDR5 for real-time robotics, smart cities & more. Smarter. Faster. Greener. FInd out more: https://
eu1.hubs.ly/H0qkBC20 #EdgeAI -
Jais-2: Arabic LLM 20x Faster Than Leading Models
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Introducing Jais-2 – a major leap for Arabic AI. Co-developed with @G42ai , Inception, and @mbzuai
, Jais-2 is a family of Arabic models built end-to-end on Cerebras from pretraining to inference. Jais-2 70B runs at 2,000 tokens/sec – 20x faster than leading LLMs. It brings deep -
DeepL Advances Real-Time AI Translation with NVIDIA Infrastructure
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Great work from @DeepLcom advancing real-time AI translation for millions of its customers, powered by NVIDIA AI infrastructure.
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Waymo’s Use of Large Models and GOFE in Autonomous Driving
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My sense is that @Waymo has been using large models for awhile (plus lots of GOFE for sensor pre-processing, system bootstrapping, data avalanching, and ongoing safety). One clue is the “thinking fast and slow” note on the image.
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VLM on Edge Part 3: Frameworks Setup and Inference Guide
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VLM on Edge Part 3: VLM Frameworks Setup and Inference
— Satya Mallick (@LearnOpenCV) 9 décembre 2025
The ultimate guide to deploying Vision Language Models on resource constrained hardware!
In this video we break it down further with the following.
✅Complete CUDA Math Library tailored for NVIDIA Jetson Orin Nano
✅Fail… pic.twitter.com/JVMviNbdICVLM on Edge Part 3: VLM Frameworks Setup and Inference
The ultimate guide to deploying Vision Language Models on resource constrained hardware! In this video we break it down further with the following.
Complete CUDA Math Library tailored for NVIDIA Jetson Orin Nano
Fail