Semiconductor Engineering

Moving from large language models in the cloud to small language models at the edge is much more complicated than just slimming down the algorithms. It requires changes in both hardware and software, and the constraints can vary greatly from one market segment to another. Daniel Firu, CPO and co-founder of Quadric, and Ravi Chakaravarthy, vice president of software at the com...

Researchers from Northwestern University and University of Illinois at Chicago developed a cerebellum-inspired memtransistor for anomaly detection that ignores expected inputs and rapidly detects unexpec...

Worldwide EDA, semiconductor IP, and services revenue reached $5.748 billion in Q1 2026, a 12.7% increase compared to the same period in 2025.

The key driver continues to be demand for tools used to create AI server chips, with computer-aided engineering up 15.5% to $2.018 billion. There was a noticeable bump in Chinese sales due to a relaxation of export restrictions,...

Researchers from SK hynix published a technical paper titled “StreamDQ: Near-Memory Weight DeQuantization in Custom HBM for Scalable AI Inference Acceleration.”

The paper proposes StreamDQ for “a lightweight architectural enhancement that enables on-the-fly dequantization in the memory subsystem for high-throughput, large-batch LLM inference,” and reports “up to 7.08× ...

Investors kept pouring money into AI hardware startups in the second quarter of 2026. While companies focused on chips for AI data centers have largely dominated the funding over the past year, startups creating edge silicon re-emerged this quarter as investors see the appeal of physical AI and real-time on-device applications. However, large-scale AI infrastructure chips and...