AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, training on databases, and special computer chips.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Overview: AI is transforming medical diagnosis by allowing earlier and more accurate disease detection.Machine learning models analyze images, lab results, and ...

DUBAI – In a solid executive action that is in accordance with the UAE's National Strategy for Artificial Intelligence 2031, ...

Google DeepMind, the artificial intelligence subsidiary of Alphabet, has made another leap in its efforts to illuminate human biology: progress toward using AI to interpret the many still-mysterious ...

GSK’s own proprietary platform is called Cogito Forge. It is not a standard AI search model, but one that uses ‘agents’ that can debate with each other. One proposes a target, another simulates its ...

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...

A recent review concluded that artificial intelligence (AI) is rapidly transforming the diagnosis and treatment of haematological malignancies by enhancing diagnostic accuracy and ...

This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

From a new animal feed and nutrition company to new animal health products and technology tools, check out these products released an promoted on the trade show floor in Nashville.