The human body constantly generates a variety of signals that can be measured from outside the body with wearable devices. These bio-signals—ranging from heart rate to sleep state and blood oxygen ...

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

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Forbes contributors publish independent expert analyses and insights. Author, Researcher and Speaker on Technology and Business Innovation. Apr 19, 2025, 03:24am EDT Apr 21, 2025, 10:40am EDT ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Ambuj Tewari receives funding from NSF and NIH. The microplastics project is funded by the “Meet the Moment” initiative of the University of Michigan's College of Literature, Science, and the Arts.

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

Smart acoustic and ultrasonic systems that can adjust and optimise to their environments are changing the way connected ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.