Researchers have created tools to get us closer to predicting earthquakes, but Caltech’s Egill Hauksson says that in this field, putting research into practice can be a challenge. Contrary to what you ...

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

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 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 ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...

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

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

Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

The core goal of a production line is to "efficiently produce qualified products," but traditional defect detection methods ...