STMicroelectronics and NUS have opened a four-year edge-AI research laboratory. HELIX will develop memory-centric architectures, accelerators, and silicon implementations for physical AI.
India’s C2S programme has expanded practical semiconductor design training nationwide. More than 68,000 students have been trained, while 254 chip designs have reached tape-out.
Socionext is extending its custom SoC roadmap to Intel 18A-P. Its first development is a high-performance compute chiplet targeting AI, HPC, edge, and data-centre systems.
NXP has launched MCX A5 microcontrollers for secure industrial Ethernet. The Cortex-M33 family integrates 10BASE-T1S digital PHY capability, topology discovery, and post-quantum security while targeting long-life industrial edge nodes.
LX Semicon has begun mass production of its automotive MCU. The 40MHz Cortex-M3 device will enter Hyundai and Kia vehicles after around three years of development, qualification, and supply-chain preparation.
Researchers have demonstrated a 28nm SRAM compute-in-memory macro for edge-AI. The design targets signed arithmetic, routing congestion, and switching overhead while supporting INT8 and BF16 computation.