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.

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 ...

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, ...

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 ...

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 ...

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

AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...

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

Many companies are searching for tools to help them hire diverse, productive workforces. Even if diversity is not the main hiring goal, they may want to ensure they’re not overlooking talented ...