Science

A new machine learning approach leverages the interconnectedness of power grids to forecast how long outages will last after major storms.

A new framework efficiently optimizes smaller language models for financial tasks, rivaling the performance of much larger systems.

A new study investigates how well large language models track changing information across extended interactions.

A new framework, FactGuard, tackles the challenge of fake news by integrating commonsense reasoning and mitigating stylistic biases in large language models.

Researchers are combining the strengths of logic programming and deep learning to build machine learning models that are both accurate and demonstrably fair.

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.