This study aims to explore the optimization role of deep learning technology in sales order management for smart manufacturing enterprises within the context of the digital economy, as well as its ...

In recent years, with the continuous development of reinforcement learning (RL), we have seen promising results in processing continuous action RL tasks 1,2,3,4,5. In dealing with some continuous ...

A systematic review of 161 peer-reviewed publications found that AI research in food safety has expanded rapidly, rising from ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Combining microscopy, scanning, and deep learning enables more precise imaging of functional dynamics in neural networks of human cortical organoids.

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.

Overview: Recommendation algorithms study user behavior patterns to predict future choices.Netflix, Amazon, and Spotify use ...

A new study published in PNAS Nexus by researchers at Carnegie Mellon University (CMU) demonstrates how a noninvasive brain-computer interface (BCI) powered by artificial intelligence (AI) deep ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

They say they've figured out what caused them. The post Scientists Detect Hundreds of Earthquakes Deep Beneath Antarctica ...