AI’s opacity poses significant ethical challenges. Black box systems, whose decision-making processes are inscrutable even to ...

Using several recent innovations, the company Databricks will let customers boost the IQ of their AI models even if they ...

Generative AI tools are constantly improving — making it increasingly difficult for us to detect which images are ...

By analyzing huge amounts of biological data, the use of machine learning accelerates the identification of critical control ...

The DNA of more than 15 million people who used 23andMe's genetic tests is up for sale. With the company filing for Chapter ...

Early frequency loss in the human hearing range (20 Hz to 20,000 Hz) is being better detected thanks to recent developments in artificial ...

The medical sector is one of the major adopters of artificial intelligence (AI), which is currently being used to synthesize ...

The diabetes prediction system is designed to predict the risk of diabetes utilizing clinical and genetic information through deep learning artificial intelligence algorithms.

It’s not what we normally think of when we hear “AI,” but it’s just as revolutionary, especially for rural producers. When ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve ...

Researchers develop Symbolic Modeling—an AI-powered technique creating unified mathematical models for financial asset ...