Science

A new deep learning architecture efficiently tackles the complex problem of predicting multi-channel time series data.

New research reveals that companies exaggerating their use of artificial intelligence are actively hindering genuine progress toward sustainable technologies.

As artificial intelligence tools become increasingly integrated into law enforcement, researchers are sounding alarms about potential biases and systemic risks that could derail legal proceedings.

A new review details how artificial intelligence is reshaping the automotive insurance landscape, from automated damage assessment to intelligent document processing.

As AI systems increasingly rely on coordinated teams of agents, ensuring their predictable and safe operation is paramount.

Corporate hype around artificial intelligence is actually hindering the adoption of crucial digital financial tools by farmers, creating new barriers to inclusion.

New research demonstrates a significant leap in the accuracy and reliability of financial loan default prediction through an innovative ensemble learning framework.

A novel framework accurately models the reliability of artificial intelligence systems, particularly crucial for safety-critical applications like self-driving cars.

A new study examines the real-world impact of integrating a custom-built AI chatbot into a Master’s level course, revealing both student enthusiasm and practical considerations.

A new framework enhances the security of distributed deep learning systems by identifying malicious attacks even when communication is unreliable.