Semiconductor Engineering

Using Data And AI More Effectively In EDA

EDA produces a lot of data, but how useful is that for AI to consume? The industry looks at new ways to help AI do a better job.
InfoWorld

Multi-token prediction technique triples LLM inference speed without auxiliary draft models

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.
Semiconductor Engineering

AI Starting To Simplify Design Of Programmable Logic

Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...