For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Apple's New Lip-Reading Tech Is a Weird Signal of Where We're Heading ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Here are our picks for the top 10 edge AI chips with a bright future across applications from vision processing to handling multimodal LLMs.

The ubiquity of smart devices—not just phones and watches, but lights, refrigerators, doorbells and more, all constantly ...

Syntiant's expansion aligns with Malaysia's New Industrial Master Plan 2030, supporting high-tech job creation and technological advancement in the region. Following its acquisition of the Knowles ...

For decades, the ability to visualize the chemical composition of materials, whether for diagnosing a disease, assessing food ...

Physical AI (PAI) in autonomous and electric vehicles (EVs) involves systems that perceive the environment, make intelligent decisions, and execute appropriate actions in real-time, bridging the gap ...

The UC Davis device exploits the properties of photon-trapping surface textures (PTST), surface modifications that enhance the light absorption capabilities of silicon photodiodes in the near-IR range ...

For decades, bulky spectrometers have been the main tools for understanding how things are made of chemicals (a thing called composition). Spectrometers are a type of lab equipment that uses prisms or ...

During CES, aiMotive demonstrates aiDrive, its modular automated driving software stack supporting ADAS and automated driving applications. Designed with scalability and cost efficiency in mind, ...