IEEE

ADAGENT: Anomaly Detection Agent With Multimodal Large Models in Adverse Environments

Abstract: Multimodal Language Models (MMLMs), such as LLaVA and GPT-4V, have shown zero-shot generalization capabilities for understanding images and text across various domains. However, their ...
GitHub

Holmes-VAU: Towards Long-term Video Anomaly Understanding at Any Granularity

Abstract: How can we enable models to comprehend video anomalies occurring over varying temporal scales and contexts? Traditional Video Anomaly Understanding (VAU) methods focus on frame-level anomaly ...
PCGamesN

Roblox brings 4D creation tools to its open-source AI model, and it looks about as good as you'd expect

I've never really seen Roblox as a bastion of creativity. To me, it just looks like a bunch of folks churning out iterative copies of the same game, and, using Peak as an example, occasionally ...
IEEE

A Partially Labeled Anomaly Data Detection Approach Based on Prioritized Deep Reinforcement Learning for Consumer Electronics Security

Abstract: Anomalies within data flows in the Internet of Things environment can potentially result in security vulnerabilities in consumer electronics. Therefore, it is crucial to effectively detect ...
The Washington Post

Inside an AI start-up’s plan to scan and dispose of millions of books

In early 2024, executives at artificial intelligence start-up Anthropic ramped up an ambitious project they sought to keep quiet. “Project Panama is our effort to destructively scan all the books in ...