Science

A new deep learning approach leverages temporal data and attention mechanisms to forecast corporate stock repurchases with improved accuracy.

A new approach leverages event-driven simulation and ontological governance to build enterprise AI systems where decisions are traceable and explainable.

New research reveals how the causes of speech recognition ‘hallucinations’ fundamentally change as model size increases.

A new empirical study dives deep into the common failure modes of modern agentic frameworks, pinpointing the architectural weaknesses and bug patterns that lead to unpredictable behavior.

Revolut’s PRAGMA model introduces a novel approach to understanding user financial histories by leveraging masked modeling and heterogeneous data sources.

A new approach, dubbed ‘Scrapyard AI’, repurposes discarded artificial intelligence models to monitor the environmental consequences of resource extraction.

As artificial intelligence infrastructure expands, ensuring reliable and efficient transmission network capacity is crucial for avoiding outages and escalating costs.

New research demonstrates that incorporating relationships between users and events significantly boosts the performance of sequence prediction models.

Researchers have developed a computationally efficient system that predicts potential accidents by analyzing broad video features, moving beyond traditional object detection methods.

A new framework leverages high-performance computing and Bayesian methods to strategically position offshore sensors for faster, more accurate tsunami detection.