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 ...

Generative AI is best known for creating images and text. Now, it is helping industries make better planning decisions.

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

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

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.

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

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

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

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 ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to immunotherapy in patients with metastatic non-small cell lung cancer ...