A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior ...

PagePeek introduces an AI-powered paper evaluation system for rhodopsin research, integrating structural, spectroscopic, and ...

Deep learning-based contouring of multiple brain metastases eases clinical workload when planning stereotactic radiosurgery ...

For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...

Deep learning, a multifaceted and groundbreaking subset of Artificial Intelligence (AI), is reshaping various sectors, notably materials science. Its algorithms are now leveraged to predict and ...

In the recent past, you probably attended a virtual lunch-and-learn presentation, read an article, or had a discussion with a controls sales representative in which the topic was a chilled water plant ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Pancreatic neuroendocrine neoplasms (PNENs) are a rare form of cancer that affects hormone-producing cells in the pancreas.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...