Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

Programmers learning Rust struggle to understand own\x02ership types, Rust’s core mechanism for ensuring memory safety ...

The list of criticisms about the use of technology in schools is growing. Many teachers are frustrated with the distractions ...

Critics of the overuse of technology in schools argue that it has led to students losing the ability to concentrate and ...

Corporate investment in AI continues to accelerate globally and patent filings for AI-related inventions are rising across ...

Learning Illustrator taught me patience; in therapy, that becomes pacing, titration, and resourcing to support steady, ...

The proliferation of AI means companies are investing in edtech to upskill their employees, and schools are using platforms ...

Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today's most capable reasoning models ...

Duke faculty and students are working with colleagues in Nepal to give the country more warning before deadly earthquakes ...

A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium ...