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Semiconductor Engineering13h
LLM-Powered Automatic VLSI Design Flow Tuning Framework
Circuit Retrieval and Optimization with Parameter Guidance using LLMs” was published by researchers at Duke University and Synopsys. Abstract “Modern very large-scale integration (VLSI) design ...
PodGPT: AI model learns from science podcasts to better answer questions
The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative ...
Tech Xplore1d
Approach improves how new skills are taught to large language models
Researchers have developed a technique that significantly improves the performance of large language models without ...
IEEE6d
Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction - IEEE Xplore
Machine learning (ML) models are excellent alternative solutions to model complex engineering issues with high reliability and accuracy. This paper presents two extensively explored ensemble models ...
Thorax6d
Identifying azithromycin responders with an individual treatment effect model in COPD
Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...
BMJ1mon
Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
The New York Times1y
As college basketball changes, so does our model to predict upsets in the NCAA Tournament - The Athletic - The New York Times
The full NCAA Tournament bracket has been released with UConn leading the way as No. 1 overall In our 19th year of writing about NCAA tournament upsets, we’re feeling a bit nostalgic. The ...