As power and latency bottlenecks grow, engineers are exploring neuromorphic chips to deliver low-energy, real-time AI at the edge of embedded and IoT systems.

Strontium titanate’s remarkable ability to perform at extremely low temperatures makes it a key material for next-generation cryogenic devices used in quantum computing and space exploration. Supercon ...

US stocks were muted on Wednesday as weak outlooks from Advanced Micro Devices Inc and Super Micro Computer Inc added to ...

The rise of “sensors everywhere” is a precursor to accumulating large quantities of sensor profiles needed for effective ...

Is the Tesla Pi Phone real? We separate fact from fiction, diving into all the rumours about Elon Musk's conceptual ...

If you want to keep Widgets enabled but clean it up a bit, open the Widgets menu, click the Settings gear in the top-right ...

Arm calls on procurement leaders to drive the next wave of digital infrastructure through energy-efficient AI solutions, ...

The momentum of the artificial intelligence (AI) infrastructure segment is in top gear this year. The AI space remains rock ...

Samsung and Nvidia have joined forces on plans for an AI megafactory, representing a new era where intelligent computing and chip manufacturing converge ...

The new SEMIL series sets a benchmark in rugged edge computing. Both systems are certified to MIL-STD-461G, MIL-STD-1275D, ...

The Edge 70’s 4,800mAh battery is as big as many flagships’, breezing past the iPhone Air’s “all-day battery life” to last ...

Ceva, the licensor of silicon and software IP for the smart Edge, announced a long-term partnership with Microchip Technology ...