A new deep learning and ensemble learning framework reaches up to 93.04% accuracy in estimating aboveground biomass across three contrasting...

A systematic review of 249 papers finds that the most capable self-improving AI agents show critically low safety levels, exposing...

Researchers in India have built a four-part neural system that uses contrastive learning, graph refinement, and reinforcement learning to find...

Researchers have developed DPAS-Net, a deep learning framework that maintains remarkably accurate multi-view clustering even when up to 90 percent...

A new framework called ARCHEX uses archetypal analysis to reveal global structural patterns in machine learning models that local explanation...

A new comparative study finds that Singapore's innovation-driven, voluntary AI governance and France's ethics-based, EU-anchored model both depend on international...

Researchers have developed a memory-augmented CNN-vision transformer autoencoder that uses Farneback optical flow to detect anomalies in surveillance video with...

A Perspective in National Science Review argues that legal artificial intelligence must move beyond prediction toward interpretability, reliability, and the...

UC Berkeley researchers used AI to build the first open-access database of millions of local ordinances from all 50 states,...

Researchers have developed FUS-DETR, a transformer-based AI detector that achieves state-of-the-art accuracy in spotting small drones against cluttered backgrounds in...