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.

Looking ahead to 2026, Raythink expects even richer AI applications to emerge across the security industry. The company will continue to expand scenario-driven deployments, enhance AI precision, and ...

Researchers have developed the world's first real-world head-to-head testing platform to determine whether commercial ...

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 ...

When Devin Singh was a paediatric resident, he attended to a young child who had gone into cardiac arrest in the emergency department after a prolonged wait to see a doctor. “I remember doing CPR on ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Artificial intelligence (AI) developed its reputation for efficiency and predictability ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

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, ...

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

The future: AI-assisted, context-rich, human-governed banking ...