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, ...

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; ...

This study presents an innovative thermal twin methodology augmented by deep learning for thermal simulation in semiconductor layout co-design. This method integrates deep learning into reduced-order ...

In today's video, I discuss recent updates affecting the semiconductor and artificial intelligence (AI) industries. To learn more, check out the short video, consider subscribing, and click the ...

The semiconductor industry is in the midst of a paradigm shift, driven by the insatiable demand for artificial intelligence (AI) and high-performance computing (HPC). At the heart of this ...

Researchers at NYU Tandon School of Engineering have created VeriGen, the first specialized artificial intelligence model successfully trained to generate Verilog code, the programming language that ...