Science

A new approach combines image blending with reinforcement learning to automatically generate explanations and improve the accuracy of deepfake detection systems.

A new approach leverages meta-learning and advanced embedding techniques to identify unusual patterns in log data, even when systems and data distributions differ significantly.

New research reveals that sophisticated, agent-driven attacks can efficiently extract significant portions of the knowledge graphs powering Retrieval-Augmented Generation systems.

A new wave of artificial intelligence is poised to redefine cybersecurity, moving from tools that assist human experts to systems capable of independent strategic defense.

New research reveals a potent attack that reconstructs private data from federated learning updates using advanced generative modeling techniques.

Researchers have developed a multi-agent artificial intelligence system to automatically detect and categorize foreign interference attempts on social media platforms.

Researchers are leveraging graph neural networks and program analysis to create more transparent malware detection systems that reveal why a file is flagged as malicious.

A new approach explores automating the scientific process by letting artificial intelligence generate and test its own hypotheses.

A new approach combines large-scale data analysis and semantic understanding to reveal the evolving trends and emerging directions within artificial intelligence.

This review explores the rapidly evolving landscape of deep learning methods for identifying objects within images and videos.