Unsupervised machine learning, combined with the analysis of earthquake sequences as interacting events, can help identify precursor signals that may occur before earthquakes. Credit: Shutterstock A ...

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

Even as the AI revolution moves toward agentic tools, there are still hosts of uses for more classical machine-learning and computing—particularly in healthcare. That’s where many of the AI and ...

Summary: Researchers successfully utilized machine learning to identify hidden neurological warning signs in the brain’s baseline electrical rhythms, bypassing the need to capture active seizures for ...

Roaring over long distances is a key behavior of lions. They communicate within prides as well as with other animals using distinct sequences of moans and grunts. Scientists from the GAIA Initiative ...

An artificial intelligence (AI) model developed by researchers at the Icahn School of Medicine at Mount Sinai improved outcomes in hospitalized patients by quadrupling the rate of detection and ...

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium ...

Of the five human senses, AI is already able to mimic sight and hearing. And one company wants to use the technology to digitize another: smell. Alex Wiltschko is the CEO and co-founder of Osmo, a ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Journalists have a saying about the importance of confirming even the most basic facts: “If your mother says she loves you, check it out.” Recently, I decided to follow that advice literally, with the ...