Machine learning is changing the front end of drug discovery, where researchers decide which targets to pursue and which molecules deserve costly laboratory work. Its deeper test lies further ...

dClinic and Polyclinic for Vascular and Endovascular Surgery, TUM University Hospital, Hospital Rechts der Isar, Technical University of Munich, Munich, Germany eChair for Computer Aided Medical ...

As AI systems become more capable, they may internally represent concepts outside the sphere of human knowledge. This work gives an end-to-end example of unearthing machine-unique knowledge in the ...

The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis Mission that could reshape how power plants are designed, licensed, built, ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

SINGAPORE – At first glance, it may seem counterintuitive. Teachers in Singapore are among the world’s fastest adopters of artificial intelligence (AI) and, to be fair, they probably thought it would ...

Babak Hodjat, Chief AI Officer leads AI Research Labs, a team of developers and researchers that is advancing the state of the art in AI, building differentiated AI features in Cognizant’s offerings ...

Hosted by Calvin University and co-sponsored by the CCCU and INCHE, the Wisdom in the Age of AI Conference, Thursday, October 8 – Saturday, October 10, 2026, brings together leading voices at the ...

The conversion of carbon dioxide into clean fuels is regarded as an important route toward carbon neutrality. CO 2 methanation, in particular, has drawn increasing interest due to its favorable ...

The UK has chosen to take a less centralised approach to the regulation of artificial intelligence (AI) than the EU. Financial services regulators are monitoring the growth in the adoption of AI ...

Future AI systems may need to provide medical professionals with explanations of AI predictions and decisions. While current XAI methods match these requirements in principle, they are too inflexible ...