The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.

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.

The International Communication Effectiveness of China’s Image from the Perspective of Soft Power Pillars: A Case Study of ...

Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...

Katana 9 with UsdSuperLayer brings native USD editing and Hydra 2 viewer support to Foundry Katana for lighting pipelines.

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 tool was previously limited to subtle or randomized video generation options. The tool was previously limited to subtle or randomized video generation options. is a news writer focused on ...

The researchers turned to hydrogels, which are water-rich, jelly-like polymers that respond to temperature and chemicals. But instead of layering different materials or embedding electronics, they ...

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