In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

A new platform, Moltbook, claims to host 1.4 million AI agents in a closed society. Discover why this "hive mind" signals a ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Raghab Singh’s research advances structure-first AI models for healthcare, combining molecular geometry and language ...

A research team from the Xi'an Institute of Optics and Precision Mechanics (XIOPM) of the Chinese Academy of Sciences, along with collaborators from the Institute National de la Recherche Scientifique ...

These findings are detailed in Integration of Artificial Intelligence in Food Processing Technologies, a detailed review that ...

Over the past year, I've been working on a challenge that faces every organization implementing Zero Trust: how do you manage ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

In large utility PV plants, a single failure in a central inverter can bring an entire megawatt-level power generation unit to an immediate halt. From fault reporting to final repair, recovery often ...

Pope Francis and Pope Leo XIV warn against reducing humans to data in the age of AI. Explore their shared vision for ethical ...