A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing Alzheimer’s from ALS and related disorders with high accuracy, enabling earlier ...

To establish quiet confidence amid war cries is no small feat, and Medha Rana has done it beautifully in Border 2.

Here are some of the best things to do this weekend in San Diego from Friday, March 20 to Sunday, March 22. Friday San Diego Latino Film Festival: More than 140 films are being screened at this year’s ...

Two parallel experiments in protein self-assembly produced strikingly different results, demonstrating that protein designers ...

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These "hallucinations" are problematic not only because ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...