San Diego-based startup Kneron Inc., an artificial intelligence company pioneering neural processing units for the edge, today announced the launch of its next-generation KL1140 chip Founded in 2015, ...

Edge computing requires real-time processing of high-throughput analog signals, posing a major challenge to conventional electronics. Although integrated photonics offers low-latency processing, it ...

As edge devices become increasingly AI-enabled, more and more chips are emerging to fill every application niche. At the extremes, applications such as speech recognition can be done in always-on ...

Latency, energy, privacy. By shifting AI computation from the cloud to the edge, these issues can be alleviated. 2025 was a breakout year for many AI applications, with consumer electronics leading ...

While Nvidia remains at the top of the AI computing hierarchy, several other companies are vying to grab a sizeable piece of the market with AI chips that either go head-to-head with Nvidia’s fastest ...

Robotics is entering a new era—one where machines don’t just follow scripts, but perceive, reason, and act in real time. From warehouse automation and delivery bots to surgical assistants and smart ...

As space exploration takes spacecraft and crews farther and farther from Earth, the need for systems that can operate with minimal (or zero) human oversight increases.

Axelera AI BV, a Dutch supplier of artificial intelligence chips for edge devices, today announced that it has raised more than $250 million in funding. Amsterdam-based venture capital firm Innovation ...

The Chinese company is adapting to the demise of Moore’s Law, which guides chip production. It could complicate US chip dominance.