Science

As multi-agent systems powered by large language models become more complex, understanding how quickly they recover from reasoning failures is crucial for dependable operation.

A new approach leverages statistical guarantees to provide pilots with real-time risk assessments and preemptive warnings during flight testing.

A new deep learning pipeline leverages advanced image analysis to improve the detection of 16 different types of oral lesions from clinical images.

A new modeling approach identifies and addresses critical performance bottlenecks in neuromorphic accelerators, paving the way for more efficient and scalable brain-inspired hardware.

A new framework leverages the power of advanced image segmentation and knowledge graphs to automatically generate detailed descriptions of changes detected in remote sensing data.

A new study pits the power of deep learning against the insights of psycholinguistics in the fight against increasingly sophisticated Business Email Compromise attacks.

Researchers have created a comprehensive dataset of Reddit posts to better understand and benchmark mental health indicators using social media data.

New research reveals that despite student skepticism, they remain surprisingly vulnerable to security flaws in code generated by artificial intelligence, demanding a shift in cybersecurity education.

New research tackles the challenge of catastrophic forgetting in AI models trained on evolving medical image and text data.

A new study reveals a vulnerability in medical image data lakes, demonstrating how learned compression techniques can be exploited to exfiltrate sensitive patient data.