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 ...

The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

By combining a multitask deep learning method and a nitrogen PROSPECT and scattering by arbitrarily inclined leaves (N-PROSAILs) model, we proposed a multitask learning-based hybrid model (ML-HM) for ...

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 ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few under-the-radar risers, here's what he found.

This project leverages machine learning techniques, including K-Nearest Neighbors (KNN) and Decision Trees, to identify exoplanets in astronomical data. By employing classification algorithms, the ...

By using the predictive AI model, the team also discovered that income and insurance status were among the top five predictors of 30-day readmission during pregnancy and delivery-related ...