Check out this new 6G semantic communication framework from Engineering! It uses explicit semantic bases to fix the flaws of traditional methods, ...
For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...
NVIDIA researchers have proposed a neural compression method for material textures that enables random-access lookups and ...
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving generative AI models. The method reinterpreted Schrödinger bridge models as ...
While 6G is anticipated to take off commercially by 2030, the work-back schedule reveals a tight timeline for wireless ...
Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Abstract: Neural shape representation generally refers to representing 3D geometry using neural networks, e.g., computing a signed distance or occupancy value at a specific spatial position. In this ...
Abstract: Acute appendicitis (AA) is one of the most prevalent surgical acute abdominal condition diseases. The recognition and segmentation of the inflamed appendix are important for AA diagnosis.