Science

New research reveals that even small changes to numerical values within factual claims can significantly impact the accuracy of large language models’ veracity predictions.

A new study rigorously assesses how well artificial intelligence, particularly large language models, can identify and flag malicious phishing attempts.

A new loss function tackles the inherent uncertainty in time series data to deliver more accurate predictions.

A new serverless architecture efficiently handles the demands of graph neural network-based intrusion detection, delivering low latency and high scalability.

New research employs physics-informed neural networks to investigate a modified dark energy model, offering a potential path towards resolving the ongoing discrepancy in the universe’s expansion rate.

Researchers are harnessing the power of advanced artificial intelligence to bridge the gap between observations of the Sun and the resulting conditions in space around Earth.

Researchers have unveiled a powerful new model capable of understanding and reasoning about music with unprecedented accuracy, pushing the boundaries of what’s possible in audio-based artificial intelligence.

Researchers are exploring attention mechanisms inspired by the brain to build more efficient and expressive models for processing sequential data.

New research demonstrates how probabilistic reconstruction techniques can reliably identify performance issues in residential solar thermal installations.

A new study reveals that standard NLP evaluation metrics struggle to accurately assess semantic similarity in financial text where numerical values play a critical role.