Researchers at Pohang University of Science and Technology (POSTECH) have developed an artificial intelligence approach that addresses a key bottleneck in analog semiconductor layout design, a process ...

Abstract: Symbol-level precoding (SLP) is a promising solution for addressing the inherent interference problem in dual-functional radar-communication (DFRC) signal designs. This paper considers an ...

Enzymes with specific functions are becoming increasingly important in industry, medicine and environmental protection. For example, they make it possible to synthesise chemicals in a more ...

Sweden-based Endra Systems AB, an artificial intelligence and generative design startup for engineers who make buildings habitable, announced Thursday it has raised $20 million in seed funding led by ...

Abstract: Magnetic flux leakage (MFL) detection technology is often used for the inspection of steel wire ropes (SWRs). Due to the weak leakage magnetic field (LMF), weak signal defects are often ...

A multicolored 3D model of an enzyme binding double-stranded DNA against a light purple background Computational enzyme design could allow for reactions not seen in nature. Credit: Ian Haydon ...

Selecting the right Raman analyzer for process monitoring can be challenging when performance claims lack quantifiable context. Terms like “high sensitivity” or “high throughput” sound promising but ...

The relentless pursuit of higher performance and greater functionality has propelled the semiconductor industry through several transformative eras. The most recent shift is from traditional ...

Santa Barbara-based ChipAgents.ai today announced it raised $21M in early funding to fuel growth for its agentic artificial intelligence platform for chip design and verification. Bessemer Venture ...

Rendered model showing a complex 3D structure made up of thousands of repeating microscopic patterns. By teaching an AI model to predict the behavior of these patterns, the Drexel team can design ...