Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Roblox launched an artificial intelligence technology on Wednesday that can generate fully functioning in-game models using natural language prompts, as the company aggressively pursues machine ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

LEGO Education’s CS and AI curriculum is designed to build AI literacy by turning students from passive users into active ...

A survey by Activate Signal reveals a majority of Indian startups (3 out of 4) use APIs and do not train their own AI models.

Designed to go beyond dashboards and reporting, SiftedAI Copilot uses agentic capabilities to plan, reason, and execute multi-step analysis. It identifies cost leakage, such as residential surcharge ...

What Are Non-Human Identities, and Why Are They Critical for Secure Cloud Environments? Ensuring the security of non-human identities (NHIs) is paramount for organizations operating in cloud ...

For at least a decade, much of the must-have cybersecurity tools available have been powered by machine learning, predictive analytics, and pattern recognition—subsets of the broader bucket of ...