Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...

In the age of digital transformation, machine learning (ML) is rapidly becoming a pivotal technology in various sectors. One of its most exciting applications is in the field of advanced materials ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

A new study published in Lupus Science & Medicine discusses how machine learning (ML) opens new possibilities for studying lupus disease, from building predictive models, identifying new biomarkers, ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

Forbes contributors publish independent expert analyses and insights. Making wealth creation easy, accessible and transparent. Artificial intelligence is the ability of a computer to handle complex ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...

Machine learning components are enabling advances in self-driving cars, the power grid, and robotic medicine, but what are the implications for safety? Decades of research and practice in safety ...

The neural network detects objects in the camera images that potentially pose airborne hazards, from birds to helicopters. Credit: Daedalean Swiss startup Daedalean is hoping for an “AI moment” for ...