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.
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…
A silicon valley startup claims it has reinvented the mathematics of neural networks and has produced a complementary edge AI chip, already sampling, which does…
“It’s really hard to succeed with exotic hardware,” Facebook Chief AI Scientist Yann Le Cun told the audience for his keynote speech at NeurIPS. Addressing…
Cartesiam has launched NanoEdge AI Studio, an integrated development environment that developers can use to create AI training and inference applications on microcontrollers without any…
AI endpoint processor startup GreenWaves has teamed up with infrared sensor manufacturer Lynred on a reference design platform for building occupancy management systems. The reference…
BRISTOL, UK — XMOS has adapted its Xcore processor core for machine learning, creating a crossover processor for AIoT applications. The Xcore.ai will be available…
Arm has unveiled two new IP cores designed to power machine learning in endpoint devices, IoT devices and other low-power, cost-sensitive applications. The Cortex-M55 microcontroller…
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