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INNOVATION
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EU Grants Open Foundry Status to Innovative Chiplet Facility
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Physics-Informed Neural Operators: Learning General PDE Solvers
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Physics-Informed Neural Operators: Learning The Solver, Not Just One Solution
— Mathelirium (@mathelirium) 23 mars 2026
Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across… pic.twitter.com/bAtfX2ashePhysics-Informed Neural Operators: Learning The Solver, Not Just One Solution Our PINN scene learned one solution field for one PDE setup. A Physics-Informed Neural Operator learns the map from input fields, like material coefficients or source terms, to the full solution across a whole family of PDE problems. So, the goal is no longer just one approximate answer, but a reusable solver-shaped object guided by the physics itself.
→ View original post on X — @animaanandkumar, 2026-03-23 14:45 UTC
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AI Labs’ Business Strategy: How Much Do AIs Handle?
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How much of the top AI labs' business strategy is handled by their AIs these days?
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China’s OpenClaw, Amazon’s Rivr, Unitree IPO lead robotics news
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Top stories in robotics today: – China is wiring robots with OpenClaw
– Amazon nabs stair-climbing bot startup Rivr
– Unitree’s IPO will test the humanoid hype
– This home robot cleaner comes with a human
– Quick hits on other robotics news -
InfluxDB 3 Handles High-Cardinality Data at Scale
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High-cardinality data is where traditional databases typically fail when tracking down to the individual cell. #Sponsored by InfluxData. #InfluxDB 3 is engineered to handle these complex, multi-layered relationships at scale, providing the granular visibility required for… pic.twitter.com/Ze0rrSbUtz
— Lucian Fogoros (@fogoros) 23 mars 2026High-cardinality data is where traditional databases typically fail when tracking down to the individual cell. #Sponsored by InfluxData. #InfluxDB 3 is engineered to handle these complex, multi-layered relationships at scale, providing the granular visibility required for
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Claude Code adoption surpasses GPT-5 despite model capability
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The lack of a visible GPT-5 codex bump in the commit data while Claude Code keeps climbing is interesting. Suggests adoption might be more about workflow integration than raw model capability at this point.
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MM-Zero: Building Multimodal AI Systems From Scratch
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MM-Zero: Learning Multimodal Intelligence From Scratch
— Satya Mallick (@LearnOpenCV) 23 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.… pic.twitter.com/VvyLNn86BeMM-Zero: Learning Multimodal Intelligence From Scratch In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.
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World’s First Surgical Humanoid Robot Achieves FDA-Cleared Spine Surgery
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World’s First Surgical Humanoid #Robot Achieves FDA-Cleared Precision in Spine Surgery
— Ronald van Loon (@Ronald_vanLoon) 23 mars 2026
by @StarSnap_1
#MedTech #Healthcare #HealthTech #Tech #TechForGood pic.twitter.com/HBjYIOR45iWorld’s First Surgical Humanoid #Robot Achieves FDA-Cleared Precision in Spine Surgery
by @StarSnap_1 #MedTech #Healthcare #HealthTech #Tech #TechForGood -
Advanced Networks Are Critical to AI Supercycle Success
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Why the AI Supercycle Will Fail Without Advanced Networks The AI boom depends on more than powerful models — without advanced, high-capacity networks to connect data centres, devices and AI systems in real time, the AI supercycle could stall. Read more
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5G IoT and Agentic AI: From Data Transport to Intelligent Orchestration
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As 5G, IoT, and Agentic AI converge, telecom networks are no longer passive infrastructure, they’re becoming adaptive, self-optimizing systems that sense, decide, and act in real time. How connectivity is evolving from moving data to orchestrating intelligence Read: