ARTIFICIAL intelligence is no longer a distant prospect but a daily reality across workplaces, accelerating changes in how jobs are defined, filled and performed. As adoption widens, educators and ...

At Web Summit Qatar, AI-powered biotech startups describe how automation, data, and gene editing are filling labor gaps in ...

Jack joins his father, Chris, in representing Hull KR, but insists the decision to make the cross-city switch on a long-term ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

Shillong: The department of information technology at North-Eastern Hill University (Nehu), Shillong, has developed an AI-based Landslide Susceptibili.

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

Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

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 ...