Science

Researchers have unveiled a challenging benchmark to assess how well artificial intelligence can detect increasingly sophisticated audio-video forgeries.

Researchers have unveiled MarketGen, a scalable simulation environment designed to train and evaluate robots in realistic, automatically generated supermarket scenarios.

Researchers have developed a new framework for verifying the successful removal of malicious triggers from deep learning models.

A new attention mechanism, rooted in the principles of Modern Hopfield Networks, promises to enhance the performance and stability of Transformer models.

Researchers have developed a novel system that focuses on the subtle frequency characteristics of audio to reliably identify artificially generated speech.

A new approach leveraging advanced artificial intelligence models is improving the accuracy of herd life predictions for dairy cows.

A new deep learning model uses the power of temporal imaging to forecast long-term Alzheimer’s disease progression, even with irregularly spaced scan data.

A novel framework dynamically filters out bad data to improve the accuracy of anomaly detection systems, even when training datasets are heavily contaminated.

Researchers have developed a highly accurate method for distinguishing text written by humans from that produced by artificial intelligence.

New research explores how reinforcement learning can optimize the reasoning process in large language models, leading to more efficient and effective problem-solving.