What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

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

New class of processor raises the bar for performance efficiency, delivering 30% area savings and 20% lower power SAN JOSE, Calif.--(BUSINESS WIRE)-- Cadence (Nasdaq: CDNS) today announced the ...

Why multicore is important for machine learning (ML) on micros. What type of ML support is inside the i.MX RT700? 1. The i.MX RT700 includes two compute engines with DSP support as well as an eIQ ...

Smartphone AI is moving off the cloud and onto the device itself. With the launch of the Snapdragon 8 Gen 5 and 8 Elite Gen 5 chips in November, Qualcomm has made that shift very clear. The ...

Estone Technology has introduced a range of Arm processor 10.1in touch-panel PCs for industrial AI applications with neural network processing, camera interfaces and power-over-Ethernet. Called ...

Advanced Micro Devices Inc. today debuted a laptop processor series that can run artificial intelligence models faster than some standalone graphics cards. The company detailed the chips at CES ...

Samsung has announced its new Exynos 9820, with significantly improved single-core performance and overall power consumption. Look for it in the upcoming Galaxy S10. Share on Facebook (opens in a new ...

Rahul Tikoo, a top AMD PC executive, tells CRN that the chip designer is ‘talking to customers’ about ‘use cases’ and ‘potential opportunities’ for a dedicated accelerator chip that is not a GPU but ...

Resources 1.10 adds AMD NPU reporting to help Linux users track Ryzen AI performance alongside CPU and GPU usage.

MIPS has accelerated the development timeline of its S8200 neural processing unit, a RISC-V–based NPU designed for real-time, ...