How, why, and where LLMs can make a difference in chip manufacturing equipment.

CSIRO's quantum-enhanced AI model boosts chip design accuracy using only 5 qubits, outperforming classical methods in predicting GaN transistor properties.

We propose a deep learning-based data-driven framework consisting of two convolutional neural networks: 1) LithoNet that predicts the shape deformations on a circuit due to IC fabrication and 2) ...

InPsytech, a leading company under the Egis Technology Group specializing in high-speed semiconductor IP solutions, has completed its advanced design for TSMC's Face-to-Face (F2F) SoIC technology, ...

As US-China tech tensions intensify, China's semiconductor industry is reaching a pivotal inflection point. Ahead of its 15th ...

Harness the power of AI on the edge with the latest SBCs that pack serious machine-learning hardware under the hood. Here’s a ...

Processor architecture efficiency; PHYs for high-speed data movement; chiplet ecosystem barriers; LLMs on the edge; data center dominance shifting to AMD and Arm; LLMs; RTL vs. functional sign-off; ...