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 ...

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’ ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Baritinib is a drug to treat rheumatoid arthritis. After outbreak of COVID-19, Benevolent AI Company discovered that AAK1 is a regulatory factor in the process of SARS-CoC-2 infection by generating a ...

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 ...

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 Fundamentals: Principles and Applications Gain a deeper understanding of artificial intelligence with Machine Learning Fundamentals: Principles and Applications. This course explores ...

Developing AI and machine learning applications requires plenty of GPUs. Should you run them on-premises or in the cloud? While graphics processing units (GPUs) once resided exclusively in the domains ...

Ronen Rozenblum, Ph.D., MPH, director of the Unit for Innovative Healthcare Practice & Technology and director of Business Development of the Center for Patient Safety Research and Practice at Brigham ...