Sam Altman rejects viral claims that ChatGPT uses gallons of water per query, but says AI’s total energy demand is a fair concern.

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Compare eight AI image platforms, from Photoshop and Canva to Photoroom and Picsart, to edit, enhance, and share visuals fast on web or mobile.

The researchers turned to hydrogels, which are water-rich, jelly-like polymers that respond to temperature and chemicals. But ...

Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could prevent ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...