Physical AI

Physical AI integrates artificial intelligence into robotic systems and machines that operate in the physical world. Truncated covers hardware developments, sensor integration, software capabilities, and deployments across industrial and consumer applications.

Yesterday · Tue 10 Nov

iORGANBIO and Mitsui Chemicals Pair AI With Oxygen-Permeable Plates to Solve Organoid Reproducibility as FDA Ends Animal Testing

forensic geneticist examines DNA samples human remains

AI-generated summary iORGANBIO has received a strategic investment from Mitsui Chemicals through the 321Catalyst fund and is collaborating to combine its closed-loop artificial intelligence platform with high-oxygen-permeability cell culture plates. iORGANBIO states that its CellForge platform belongs to a category of technology called Physical AI, combining artificial intelligence prediction with robotic execution in a continuous feedback loop.

Intel and Altera expand collaboration to simplify sensor integration for physical AI

AI-generated summary Intel Corp. and Altera Corp. announced that they are jointly developing flexible, real-time, sensor-bridge reference systems for edge and physical AI applications including robotics. The companies state that their collaboration combines Intel compute, connectivity, and software with Altera field-programmable gate arrays or FPGAs to help manufacturers simplify sensor integration.

Gemini Robotics 2.5: Accelerating Physical Intelligence

AI-generated summary Google DeepMind reports that Gemini 4 Argon robotics research capabilities acted as a simulation engine to accelerate the development of Gemini Robotics 2.5. Google DeepMind says Argon generates simulated practice runs from camera scenes and builds digital twins to help robots generalize to new objects.

Also covered by @GoogleDeepMind Ars Technica The Decoder
+2 moreInteresting Engineering Tech Times

Monday 9 November

NXP Launches Modular Robotics Platform for Physical AI Development

AI-generated summary NXP Semiconductors said on November 9, 2026, that its new modular robotics platform for physical AI systems can deliver initial drone functionality within 30 minutes out of the box using processors, open-source software and reference designs. NXP stated that pre-integrated software and validated subsystem interoperability can cut the months developers often spend integrating robotic subsystems down to days or weeks.

Sunday 8 November

Saturday 7 November

Friday 6 November

Thursday 5 November

Wednesday 4 November

The Anatomy Of Robots

AI-generated summary AMD has made available insights regarding physical artificial intelligence and robot anatomy as discussed by Chief Technology Officer Mark Papermaster at the Physical AI Summit. According to AMD, integrating reflexes and neural connections into physical systems helps robots catch assembly errors and operate safely alongside people.