Session

DescriptionThis session will dive into the intersection of machine learning with EDA and other cutting-edge applications. Attendees will witness how large language models (LLMs) revolutionize tasks from fixing RTL syntax errors, designing operational amplifiers and dramatically cutting down large training times of protein folding with AlphaFold. The session will subsequently explore sustainable benchmarking in accelerator-aware NAS, real-time network traffic analytics, anomaly detection at the edge and ML-driven optimization of physical design parameters for 3D ICs.