Three pioneering healthtech companies have recieved the first investments from STAC's newly-launched investment syndicate, ...

Facial recognition is finally getting good enough to say something meaningful about our health. Are we ready for it?

We use the Navier-Stokes equations every day, for applications from building rockets to designing drugs. But sometimes they ...

That's part of the innovation—the combination of data preprocessing, machine learning algorithms, and post-processing," said Butala.

Machine learning pioneer Hao Zhang, who made billions for Two Sigma, plans to launch Hippocampus Capital Management in early 2026, sources say.

Recent successes in applying computer vision and machine learning to drone imagery for rapidly determining building and road damage after hurricanes or shifting wildfire lines suggest that AI could be ...

Urban vegetation classification is challenging due to the heterogeneous nature of urban environments. Accurate mapping of urban vegetation, which plays a crucial role in regulating microclimates, ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

The study shows that machine learning and deep learning algorithms can accurately classify tree species using individual tree point clouds, and the operation process of PointMLP is more concise and ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...