Science

Researchers have created a comprehensive platform to rigorously evaluate the capabilities of artificial intelligence agents in diagnosing and resolving complex network issues.

A new AI framework leverages patient data to forecast pain episodes in lung cancer patients, offering the potential for proactive and personalized pain management.

New research reveals a significant surge in international remittances following natural disasters, demonstrating a critical yet often overlooked role in immediate disaster relief.

A new data-driven approach combines machine learning techniques to improve the early detection of blade failures and optimize wind energy production.

New research details a method for systematically discovering and modeling what artificial intelligence systems can actually do, even when their inner workings are opaque.

A new approach combines the power of machine learning with the reasoning capabilities of large language models to dramatically improve time series forecasting.

Researchers have developed a new framework to forecast thrombosis risk in rotary blood pumps, offering a crucial step towards safer and more reliable devices.

New research reveals how increasingly sophisticated artificial intelligence is being weaponized to create convincing romance scams and exploit vulnerable individuals.

Researchers have developed a physics-informed neural network that significantly accelerates the modeling of landslides and other gravity-driven flows, opening doors to real-time hazard assessment.

A new analysis reveals that current large language models are fundamentally unsuited for critical security roles, raising serious concerns for risk management and regulatory compliance.