Defections, secret conversations, deal talks that fizzled and a battle for control: The turmoil at Thinking Machines Lab is the artificial intelligence industry’s latest drama.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Today our grumpy guru Leo discusses the topics of Net Neutrality, Nvidia enabling Machine Learning on the Titan, Kaspersky ...

Learn how AI is transforming predictions of drug-induced liver injury and aiding drug development for safer therapeutics.

This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.

Cisco's AI Security and Safety Framework includes a unified taxonomy that aims to classify a range of AI safety threats, such as content safety failures, agentic risks, and supply chain threats. Cisco ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

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.