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

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 ...

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 ...

Researchers have developed and validated a deep learning algorithm that can identify and outline ('segment') a non-small cell lung cancer (NSCLC) tumor on a computed tomography (CT) scan within ...

Deep learning algorithms are emerging as a formidable solution to these challenges, promising to revolutionize cybersecurity protocols in Industrial IoT environments.

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 ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Using algorithms derived from its neuroscience research, Numenta announced today it has achieved dramatic performance improvements on inference tasks in deep ...