These are unfortunate examples of how AI can lead to mistreatment of people because of technical flaws as well as misplaced ...

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...

The goal of this article is to address the most common questions practitioners are asking today about gen AI in e-discovery.

The data-phobia problem means helping the industry engage with structured information, statistical thinking, and predictive ...

The move pushes MathWorks into a world historically dominated by open-source developer tooling and AI-native workflows.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

This article reviews the scope, key principles, methodological expectations, and regulatory implications of ICH E20, and ...

Artificial Intelligence is no longer a pilot project or a future ambition for banks. It is the engine running their fraud systems, the intelligence behind their customer conversations, the analyst ...

Researchers at the University of Pennsylvania have developed ApexGO, a novel, AI-powered method for turning promising but imperfect antibiotic candidates into more potent ones. Unlike many existing AI ...

Artificial intelligence is moving beyond the digital world and into the physical one, with implications that could reshape ...