Scientists have pulled off a feat long considered out of reach: getting light to mimic the famous quantum Hall effect. In their experiment, photons drift sideways in perfectly defined, quantized steps ...

Treatment response prediction remains one of the most pressing challenges in precision psychiatry, where patient heterogeneity and complex biomarker interactions limit the reliability of conventional ...

Important Note: This repository implements SVG-T2I, a text-to-image diffusion framework that performs visual generation directly in Visual Foundation Model (VFM) representation space, rather than ...

A researcher at the Department of Physics at Tohoku University has uncovered a surprising quantum phenomenon hidden inside ordinary crystals: the strength of interactions between electrons and lattice ...

The availability of these models in multiple configurations ensures that they can be fine-tuned for specific tasks, whether in natural language processing, reasoning, or domain-specific applications.

For close to a century, scientists have been trying to marry Albert Einstein’s General Theory of Relativity and quantum theory—our two best bets on understanding the universe on a macroscopic and ...

ABSTRACT: Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera ...

This repository contains the source code, scripts, and supplementary materials for the paper: "A New Hybrid Model for Improving Outlier Detection Using Combined Autoencoder and Variational Autoencoder ...

Abstract: This paper presents a novel approach for codebook initialization in the well-established Vector Quantized-Variational AutoEncoder (VQ-VAE). Rapid Object Modeling (ROM), inspired by few-shot ...

Physical AI, where robotics and foundation models come together, is fast becoming a growing space with companies like Nvidia, Google and Meta releasing research and experimenting in melding large ...