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.
IEEE

Predicting Automotive Battery Degradation Trajectories Using Transformer With Variational Auto-Encoder Based Data Augmentation

Abstract: With the widespread adoption of electric vehicles (EVs), accurately predicting the degradation trajectory of batteries has become crucial to ensure the safe and reliable operation of EVs. In ...
IEEE

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks

Abstract: With the arrival of 5G technology, networks face critical challenges in detecting anomalies that can significantly impact performance and reliability. This paper introduces QAED (Quantized ...