Science

A new framework leverages high-altitude platforms and drones to rapidly restore communication and provide critical environmental data in the wake of natural disasters.

A novel statistical framework leverages both past performance and real-time data to more accurately forecast when engineering systems will need maintenance or replacement.

New research reveals a surprising performance drop in large language models as they process longer sequences of text, even when architecturally capable.

New research explores the potential of machine learning models to accurately forecast daily arrivals in emergency departments, offering insights for improved resource allocation.

A new deep learning framework, Phi-SegNet, boosts the accuracy of medical image analysis by incorporating often-overlooked phase information from the frequency domain.

Researchers have demonstrated that machine learning can accurately predict the complex propagation of waves through granular materials, offering a significant speedup over traditional simulations.

Researchers have developed a novel method to detect the faint neutrino signals emitted before a star collapses, potentially providing hours of advance notice for supernova observations.

New research introduces a system for managing information recall that dramatically extends the coherent reasoning capabilities of artificial intelligence agents.

A new deep learning approach tackles the challenge of reliably detecting weak health signals from wearable sensors amidst the crowded 2.4 GHz radio spectrum.

A new machine learning framework draws inspiration from biological neural networks to deliver accurate medical image analysis with reduced computational demands.