AI chip design

Nvidia has released a new software platform designed to stop AI agents from misbehaving, addressing safety and control concerns as companies increasingly deploy autonomous AI systems in real-world tasks. The announcement positions Nvidia, already dominant in AI chips, as a provider of tools for governing how agentic AI behaves, a growing worry for businesses adopting the technology.

SiMa.ai, a chip developer focused on physical AI, has reached a valuation of $1.45 billion. The company builds semiconductor technology designed to bring AI processing to physical systems such as machines and edge devices. The valuation places it among the more prominent independent AI chip startups, in a sector drawing intense investor interest as companies race to supply hardware for artificial intelligence beyond data centers.

A new roundup examines how artificial intelligence is transforming the semiconductor sector, from chip design to rising demand for specialized materials. Analysts say the surge in AI chip development is driving shifts in manufacturing priorities and supply chains, with material suppliers gaining importance as production scales.

Nvidia is developing a hardware-based safety layer, referred to as OpenShell Sentry, designed to sit alongside AI agents and monitor their behaviour for signs of rogue or unsafe actions. The idea is that a dedicated watchdog chip could intervene when an autonomous AI system misbehaves, adding a physical check on software that increasingly acts on its own. Discussion is focused on whether hardware oversight can keep pace with fast-moving agent systems.

An AI system has reportedly designed a fully functional computer chip in just two weeks, with no human involvement, and performed below the required specification. The claim, reported by Startup Fortune, points to a milestone in autonomous chip design, a field where AI tools have so far mainly assisted human engineers rather than replacing them. Details about the company, chip type and verification remain sparse, but the story is drawing attention across the semiconductor industry.

Korean semiconductor startup Moblint is developing on-device AI chips in partnership with LG, Doosan, and Daedong, targeting applications in robots and home appliances. The chips are designed to run artificial intelligence locally on devices rather than relying on cloud processing, a growing trend as appliance makers and robotics firms seek faster, more private AI capabilities built directly into their products.

Google has announced Project Suncatcher, an initiative to launch a prototype satellite designed to test the performance of AI chips in orbit. The company is exploring whether data centres could eventually operate in space, taking advantage of continuous solar power while avoiding land and cooling constraints on Earth. The project puts Google in competition with other tech firms weighing space-based computing.

Engineers have developed a stacked AI chip that combines fast and slow processing layers to recognize changes in motion over time. The design pairs layers operating at different speeds, allowing the chip to detect both immediate movement and longer-term patterns. The approach could improve event-based vision systems used in robotics, surveillance and autonomous machines, and is drawing attention among researchers following neuromorphic and edge computing hardware.

Infineon Technologies has begun sampling 120-amp power management chips designed for AI accelerator hardware. The components are intended to handle the intense power delivery requirements of AI data center systems, where processors draw increasingly high currents. The move reflects growing semiconductor industry focus on supplying power infrastructure for the AI computing boom.