Science

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.

A new framework accurately extracts opinions from Bangla product reviews, offering valuable business intelligence for a rapidly growing online market.

New research reveals that as language models learn, the relationship between how often a word is used and how many meanings it acquires isn’t straightforward, defying a long-held linguistic principle.

New research explores whether large language models can move beyond simple fact-checking to identify the specific evidence supporting or refuting a statement.

A new approach to text-to-image generation bypasses the need for dedicated prior networks by directly optimizing image embeddings within diffusion models.