Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

The recent advent of AI is transforming daily life from streamlining routine tasks to augmenting productivity and ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...