Science

A new distributed artificial intelligence framework promises to improve both the economics and reliability of interconnected local energy networks.

A new study reveals that intelligently adjusting the importance of training data points can significantly improve fairness in machine learning models, but success hinges on defining the right priorities.

New research shows that even simple neural networks develop geometric patterns consistent with a fundamental mathematical theorem, suggesting underlying organizational principles at play.

Researchers have developed a novel approach to reliably detect manipulated regions within images generated by inpainting algorithms, bolstering trust in visual content.

A new reinforcement learning approach allows large language models to master complex reasoning tasks simply by observing expert demonstrations.

A new method intelligently reduces the number of tokens processed by Vision Transformers, maintaining performance by prioritizing visually important information.

A new technique embeds robust, undetectable signals within synthetic datasets to verify their origin and integrity.

A new technique efficiently pinpoints the specific data patterns that cause large language models to stumble, offering a path toward more reliable AI.

A new system efficiently analyzes footage from multiple cameras to deliver faster, more comprehensive understanding of traffic patterns.

Researchers are leveraging generative AI to forecast the progression of Alzheimer’s disease by predicting future brain scans and key indicators of cognitive decline.