New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Researchers have employed Bayesian neural network approaches to evaluate the distributions of independent and cumulative ...
AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...
All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...
Increasingly, AI models are able make short-term weather forecasts with surprising accuracy. But neural networks only predict based on patterns from the past—what happens when the weather does ...
Multi area RNN models fitted to in-vivo cortical activity predict behavioral changes induced by optogenetic perturbations, if biologically informed connectivity constraints on the optogenetically ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
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