Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

Hybrid human–AI models emerge as the most viable approach. In such systems, AI handles low-risk, high-frequency tasks such as ...

The global Electronic Discovery Software market achieved a valuation of USD 5.2 billion and is projected to reach USD 10.1 billion by 2033. This expansion reflects a strong compound annual growth rate ...

A tiny piece of junk may be harmless on Earth, but even the slightest impact from such debris hurtling through space at high speed can prove fatal for a spacecraft. There are more than a million such ...

The AI we use today is mostly ‘Narrow AI,’ meaning it’s really good at one specific job, like playing chess or recommending songs. The AI in movies, like robots that can think and feel like humans, is ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

Mental health problems are among the most pressing of public health challenges, affecting millions across different age groups and societies. Depression, anxiety, and stress-related conditions rank ...

MSCI Inc. (NYSE: MSCI), a leading provider of critical decision support tools and services for the global investment ...

The fear is that fraudulent behavior enabled by AI will undermine systems and institutions that society relies on.