DRL (Deep Reinforcement Learning) has become a research hotspot in the trajectory planning of robot arms, enabling robots to show behaviors close to humans in tasks such as grasping, opening doors, ...

This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is ...

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.

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.

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

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

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 ...

The U.S. Deep Learning Market is Projected to Grow from $37.14 Billion in 2025 to $596.02 Billion by 2035, While Europe is Expected to Expand from $31.98 Billion to $451.64 Billion, Fueled by Rapid ...

To improve the algorithm's performance and decrease overfitting, the SDC-DeepLabv3+ algorithm was trained with an initial learning rate of 0.01, a batch size of eight, and 1,000 iterations. Using the ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

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 ...