Utilizing LSTM algorithms for solar energy forecasting enhances prediction accuracy, essential for effective integration of renewable energy into the grid.

If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.

DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...

Recently, Shaila Niazi, a third-year doctoral student in Çamsari’s lab, achieved a significant breakthrough in that effort, becoming the first to use probabilistic hardware to train a deep generative ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Deep learning algorithm to speed up materials discovery in emerging tech industries Project to generate new hypothetical materials Date: August 25, 2020 Source: University of South Carolina ...