Sally Ward-Foxton covers AI technology and related issues for EETimes.com and all aspects of the European industry for EETimes Europe magazine. Sally has spent more than 15 years writing about the electronics industry from London, UK. She has written for Electronic Design, ECN, Electronic Specifier: Design, Components in Electronics, and many more. She holds a Masters’ degree in Electrical and Electronic Engineering from the University of Cambridge.
Eta Compute’s tool chain is growing, with the announcement of a compiler for its ECM3532 chip that streamlines embedded development. Combined with a sensor board…
Imec and GlobalFoundries have demonstrated a processor-in-memory chip that can achieve energy efficiency up to 2900 TOPS/W, approximately two orders of magnitude above today’s commercial…
Lattice has launched a family of general-purpose FPGA devices, the second family built on its Nexus technology platform. The Certus-NX family offers high I/O density,…
AI software startup Mipsology is working with Xilinx to enable FPGAs to replace GPUs in AI accelerator applications using only a single additional command. Mipsology’s…
A proof-of-concept chip from French research institutes CEA-Leti and LIST, presented at VLSI Symposium 2020, incorporates a low-power IoT node and an AI accelerator and…
German research project OpenLicht has successfully developed a smart-lighting system based on open-source software and machine-learning libraries, plus inexpensive hardware, that can automatically adjust lighting…
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