“The chip combines the low latency of SRAM-first designs with the long-context support of HBM,” MatX co-founder and Chief ...

ISSCC addressed challenges for electronics to meet AI demand, AI to speed up the design and training the next generation ...

MatX raises $500M to develop AI chips for large language models and compete with Nvidia, enabling advanced applications.

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

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 ...

CEO Anirudh Devgan said he expects the trend of companies making their own custom chips to accelerate.

A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...

Explore the parallels and differences between AI architectures and the human brain's design and functionality in processing ...

Learn about agentic design automation, which Mark Ren, CEO of Agentrys and DesignCon keynote speaker, says will lead us into ...

Chennai: IIT Madras alumnus semiconductor chip design automation startup Tattvam AI has raised $1.7 million in pre-seed funding. It aims to make customised chip design faster and cheaper. It aims to ...