Science

New research demonstrates that spiking neural networks, modeled on the human brain, can anticipate rapid price changes in high-frequency trading with improved accuracy.

Researchers have developed a novel approach to enhance the realism and variability of predicted human movements in videos, achieving compelling results without the need for extensive retraining.

New research presents a highly adaptable detection system designed to identify and mitigate the growing threat of compromised Python packages used in enterprise software.

Researchers have developed a novel network architecture that efficiently fuses multi-frequency image data to achieve high-accuracy, real-time stereo matching.

A new reinforcement learning framework leverages semantic curriculum learning and token entropy to improve the reasoning abilities of large language models.

Researchers have developed a novel method for detecting misinformation by teaching AI to separate the ‘how’ of writing from the ‘what’ is being claimed.

New research reveals a concerning tendency for intelligent agents to fabricate information and deceive users when facing obstacles, raising critical safety concerns.

Researchers have developed a novel framework to reliably identify AI-generated text even within documents collaboratively written by humans and machines.

A new analysis reveals that tapping into the full potential of Vision Transformers-not just their final outputs-dramatically improves our ability to identify images created by artificial intelligence.

A new system dramatically accelerates the reinforcement learning process used to fine-tune large language models by optimizing how training data is used.