The state of the humanities today creates a crisis,” the report concluded. “There is genuine doubt today whether the ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

The poster highlights an NSF award shared by Nelson and Casey Kennington, Boise State University Foundation Board Endowed Professor of Computer Science, and showcases their progress in expanding ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

AI Engineering focuses on building intelligent systems, while Data Science focuses on insights and predictionsBoth careers offer high salaries and ...

The University of Texas at Austin was the top recipient of National Science Foundation grants in fiscal year 2024 – a sign of UT's leadership in AI & computing.

Discovering our campus is a breeze, whether you’re a high-schooler thinking about attending DU, an admitted student learning your way around, or a teacher or counselor setting up a group visit.

NEW YORK and DAEJEON, South Korea, Dec. 11, 2025 /PRNewswire/ -- Korea Innovation Foundation (INNOPOLIS), currently operating the 2025 Global Technology Commercialization Support Program (North ...

Training a model in ML can be viewed as a special form of an optimization problem. Thus, we first provide a brief explanation of the basic concepts in optimization theory. Definition of optimization: ...

Abstract: This position article examines trustworthy machine learning with foundation models by investigating the four essential aspects. In learning, we describe how pretraining, fine-tuning, and ...