Science

A new approach combines the power of large language models and evolutionary algorithms to identify more reliable and understandable investment strategies.

A new approach accurately forecasts user behavior, from everyday actions to the surprisingly rare, on platforms like Bluesky.

Researchers are leveraging the power of artificial intelligence to automatically optimize PyTorch inference on GPUs, achieving significant speedups without manual intervention.

New research demonstrates that even well-trained machine learning models can be vulnerable to attacks that reveal whether specific data points were used in their training.

A new study comprehensively assesses how self-supervised learning can bolster the detection of increasingly realistic manipulated audio and video.

New research explores how artificial intelligence can leverage both audio and visual cues to identify increasingly realistic manipulated media.

A new unsupervised learning approach leverages the power of graph autoencoders to detect anomalous network traffic with significantly improved performance.

A novel framework leverages contrastive learning and reinforcement learning to detect unusual patterns in movement data in real-time.

New research explores the power of combining social media buzz with television viewership to forecast emerging entertainment stars in Japan.

A new framework systematically identifies and corrects flawed questions within popular AI benchmarks, addressing a critical issue in reliable performance measurement.