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 ...

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Wind and solar power may be heading for a faster global expansion than most official forecasts have projected, according to a ...

SardineAI Corp announces the release of a fraud risk operations guide focused on the distinction between machine learning vs generative AI as an operational consideration within financial crime ...