Science

A new architecture leverages attention mechanisms and geometric constraints to achieve robust 3D point tracking across multiple cameras, even when objects are partially hidden.

A new model refining how we understand turbulence inside stars promises more accurate predictions of their evolution and the subtle vibrations that reveal their inner workings.

New research reveals that even the most advanced multimodal AI systems exhibit a strong bias towards visual and textual information, impacting their reasoning abilities when data conflicts.

A new framework leverages the power of contrast-enhanced imaging and representation disentanglement to deliver more accurate and robust tumor analysis, even with incomplete data.

New research addresses the problem of ‘temporal hallucination’ – where video AI generates events that didn’t actually happen – with a novel approach to training these complex systems.

Researchers have developed a new model to better understand psychological states by separating spoken language from subtle facial cues in real-world videos.

A new benchmarking framework promises to accelerate the development of AI models capable of discovering stable and diverse inorganic crystalline materials.

Researchers have developed a new model capable of intelligently processing Earth observation data from diverse sources and resolutions, paving the way for more adaptable and insightful environmental monitoring.

A new approach using multiphoton interference significantly improves the accuracy of determining the indistinguishability of single photons, paving the way for more precise quantum sensing and computation.

Researchers have refined control protocols to enable high-fidelity iSWAP gates using dipolar interactions between neutral atom qubits, unlocking new possibilities for scalable quantum computation.