China ICs; Polar's CHIPS Act win; AI worker risks; Intel's Ireland fab; Arm's new AI chips; S.Korea's $7B chip package; auto ...

Neuromorphic engineering is a concept developed by Caltech Professor Carver Mead in the late 1980s after an encounter with ...

Questions are surfacing for all types of design, ranging from small microcontrollers to leading-edge chips, over whether ...

Reducing energy consumption involves striking a balance between universal and highly specialized architectures.

Smaller models with fewer parameters put image generators and chatbots within reach of an embedded NPU implementation.

Program enables students and hobbyists to get a design fabricated at a fraction of the usual cost.

Moving power management from the motherboard to the DIMM increases memory performance.

Implementing security measures isn't free. It affects everything from latency and battery life to the equipment and processes ...

Conventional AI/ML inference silicon designs employ a dedicated, hardwired matrix engine – typically called an “NPU” – paired with a legacy programmable processor – either a CPU, or DSP, or GPU. The ...

An influx of connected devices, more compute options, and the rapid growth of generative AI are making it much harder to ...

System-level test offers speed and lower cost, but there are limits to what it can do. Heterogeneous integration and ...

The idea of transformer networks has existed since the seminal publication of the Attention is All You Need paper by Google ...