Researchers at the University of California, Los Angeles (UCLA), in collaboration with UC Berkeley, have developed a new type of intelligent image sensor that can perform machine-learning inference ...

Archetype AI Inc., a startup that provides artificial intelligence agents optimized to process sensor data, has raised $35 ...

Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, ...

As part of modern vehicles’ transition from older technologies to new technologies, inductive position sensors aim to replace Hall effect sensors, and this transition is intrinsically tied to better ...

A new study published in JMIR Aging developed and tested a new AI model called HOPE which uses Wi-Fi-based motion sensor data ...

The team developed MobilePoser, a new system that leverages sensors already embedded within consumer mobile devices to accurately track a person’s full-body pose and global translation in space in ...

Anyone who’s ever tried their hand at reverse engineering a piece of hardware has wished there was some kind of magic wand you could tap on a PCB to understand what its doing and why. We imagine ...

June 7, 2021 at 6:30 a.m. PT Tiny machine learning (TinyML) is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software ...

AI-assisted signal debugging has broad impact across many domains.

Often, it’s the big-system applications of artificial intelligence (AI) that get all the press: autonomous vehicles, image recognition, building management, and the like. But AI is also finding its ...