This session examines how AI, predictive algorithms and data are being used to support real-time surgical decisions, enhance everyday diagnostics, and improve outcomes across modern healthcare.

Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

In the short term, AMD price might remain be somewhat muted, at least according to a machine learning algorithm.

A machine learning model has projected that Nvidia (NASDAQ: NVDA) stock could trade at an average price of $248.25 by October ...

A major review in the Journal of Neurology charts three years of advances in diagnosing and treating vertigo, from ...

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

Guaraang Malik explains how AI building energy management could predict demand and shift cooling loads, with real building ...

A research team has developed a framework that combines machine learning with quantitative microbial risk assessment to ...

The most prominent AI event isn’t necessarily the most useful one for your work. When comparing machine learning in finance ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

The changing use of the word algorithm reflects this enhanced visibility. In fact, the meaning of this word has changed ...

The 72-quarter-hour program builds on Sofia's existing computer science curriculum, which includes the Master of Science in Computer Science and graduate certificates, including the Graduate ...