Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

In the past decade, AI's success has led to uncurbed enthusiasm and bold claims—even though users frequently experience ...

Several years ago, teams of scholars published groundbreaking research that pointed to racial biases in algorithms that helped direct patient care at major health systems in the U.S. Those algorithms, ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. Brian Moynihan, CEO of Bank of America, is spending $4 billion ...

Artificial intelligence (AI) continues to reshape how we live everyday life, influencing how we communicate, work, and even make routine ...

Forbes contributors publish independent expert analyses and insights. I tell stories about creating environments that empower everyone. Workday, Inc is facing a collective-action lawsuit based on ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Artificial intelligence is rapidly transforming clinical medicine, with AI-powered tools increasingly being used for ...