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.
The startup’s energy-efficient chip targets M.2 accelerator sockets for speeding recommendation models in data centers. Coinciding with the Hot Chips conference, startup Esperanto emerged from…
Innatera, the Dutch startup making neuromorphic AI accelerators for spiking neural networks, has produced its first chips, gauged their performance, and revealed details of their…
Ambarella launches two devices for computer vision and AI processing from multiple or single inputs in security cameras and smart city systems. Image processing specialist…
A novel hybrid data-flow and Von Neumann architecture can accelerate workloads including neural networks, machine learning, computer vision, DSP and basic linear algebra subprograms. Quadric,…
New TinyML benchmark has metrics for latency and energy consumption – and the first round of results are out. MLCommons, the industry consortium behind the…
Embedded vision technologies are giving machines the power of sight, but today’s systems still fall short of understanding all the nuances of an image. An…
Voice control and voice interfaces have begun their inexorable infiltration of pretty much all consumer edge device categories. Advances in both voice recognition algorithms and…
Performing AI inference on embedded edge devices is attractive in situations where low latency is required, or where the volumes of data collected at the…
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