Performance and battery life lag behind competitors. And with such AI-centric marketing, I figured it'd be able to handle ...

What if you'd invested in Microchip Technology (MCHP) ten years ago? It may not have been easy to hold on to MCHP for all that time, but if you did, how much would your investment be worth today? With ...

NeuraWave is designed to enable faster, energy-efficient AI inference and advanced signal processing applications at the edge.

Tech giants are accelerating a move from centralized data centers to edge computing and custom AI chips, driven by the high cost and latency of AI inference. Companies like Google, Meta, Broadcom, and ...

Semiconductor spin qubits are a promising candidate for the building blocks of next-generation quantum computers due to their ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

IndisemiC is using radio frequency modules as a stepping stone to build a full-stack, fabless semiconductor business in India ...

Arteris and MIPS have announced a partnership aimed at speeding up the development of physical AI applications.

As demand for domain-specific silicon in physical and edge AI applications grows, SoC developers are increasingly constrained by data movement bottlenecks, physical design challenges, and ...

The SEALSQ Quantum Vertical Stack is structured as four foundational security layers and three operational quantum verticals, unified by the SEALQuantum photonic interconnect platform and capped by ...

Multicore processing boosts performance and energy efficiency in many coding situations. Bare-metal algorithms further ...

ITTIA DB Lite AI will empower microcontrollers with deterministic, on-device processing and real-time AI intelligence.