Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

Core math topics like linear algebra, statistics, and calculus form the foundation of data science.• Real-world projects and ...

Delos also uses its model to distinguish insurable properties in areas often redlined by traditional markets. McIntyre said ...

Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

High-resolution flow field data are essential for accurately evaluating the aerodynamic performance of aircraft. However, acquiring such data via ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Mastering financial modelling gives students an edge in investment banking and private equity. Learn why it’s more than just ...

Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...

A Tribune reporter and data nerd went looking for a smarter way to evaluate and draft NBA players. From Cooper Flagg to a few ...

Most of us feel like we’re drowning in data. And yet, in the world of generative AI, a looming data shortage is keeping some ...