Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...

Department of Chemical and Biological Engineering, and Institute of Chemical Processes, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea ...

Recently, renowned computer scientist and a pioneer in the field of deep learning, Yoshua Bengio, shared some insightful thoughts on mitigating the risks of increasingly powerful AI systems. His ...

Industry stakeholders from across the ideological spectrum reviewed the report before its publication, including staunch AI safety advocates like Turing Award winner Yoshua Bengio and those who ...

This study presents a novel method for lung function evaluation during breathing using spatiotemporal residual recurrent neural networks (STResRNNs) based on electrical impedance tomography (EIT). Our ...

Promising new research shows potential to cure recurrent urinary tract infections The study examines the effectiveness of nanogels as a drug delivery system for improving UTI treatment Date: March ...

This repository provides a collection of papers and resources focused on long-context LLMs, including architecture, infrastructure, training, and evaluation. For a clear taxonomy and more insights ...

A compelling way to disentangle the complexity of the brain is to measure the effects of spatially and temporally synchronized systematic perturbations. In humans, this can be non-invasively achieved ...