MIPS Inova FINAL 02

MIPS and INOVA Collaborate to put Physical AI into the palm of Robotic hands with new Reference Platform

Inova Semiconductors collaborate with MIPS to build reference Physical AI platform for secure architectures in Robotics applications New platform will be a hardware-based custom SoC solution enacting sense-think-act-communicate signal chains to reduce size, weight and power constraints Flexible and scalable architecture reduces software requirement for data communication, driving rapid development cycles and accelerating time-to-market for

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MIPS GHS FINAL 02

MIPS and Green Hills Software Accelerate Safety Certified Product Development for MIPS RISC-V Microcontrollers

Collaboration accelerates time-to-market for mission-critical applications in automotive and industrial markets Designed for real-time, event-driven Physical AI action platforms that need safety certification such as motor control, traction inverters, or battery management Enables customers to build safe, scalable platforms based on MIPS Atlas M8500 RISC-V microcontroller SAN JOSE, Calif., March 9th, 2026 – MIPS, a

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Physical AI FINAL scaled

GlobalFoundries to Acquire Synopsys’ Processor IP Solutions Business, Expanding Capabilities to Accelerate Physical AI Applications

Acquisition will strengthen GF’s leadership in Physical AI, enhances compute capabilities, expands company’s RISC-V and AI portfolio and software tools and accelerates custom silicon development. MALTA, N.Y., January 14, 2026 – GlobalFoundries (Nasdaq: GFS) (GF) today announced its execution of a definitive agreement to acquire Synopsys’ ARC Processor IP Solutions business, including its teams of

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Meet MIPS S8200: Real-Time, On-Device AI for the Physical World

Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’ edge-first approach focuses on ultra-low latency, low power, and cost-efficient inference delivered by its Atlas portfolio—and specifically the

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