Researchers have built a machine learning model that can successfully predict abnormal grain growth in polycrystalline ...

A team of Lehigh University researchers has successfully predicted abnormal grain growth in simulated polycrystalline ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

It can also tell us which parts of it the protein interacts with. This deep-learning model speeds up the prediction process by doing a visual test using AI. It saves time and money, helping ...

Press Release Helm.ai, a leading provider of advanced AI software for high-end ADAS, autonomous driving, and robotics automation, today introduced Helm.ai Driver, a real-time deep neural network (DNN) ...

This study sends a clear signal to both researchers and disaster management authorities: machine learning, particularly GRU ...

Six years after interviewing Father of Modern AI, this article revisits his bold AI predictions to show what came true and what business leaders should understand now.

MULGONET combines deep learning and multi-omics analysis to predict tumor recurrence, addressing interpretability and ...

Xiaojie Zhang, MD, and Akshat Singhal, PhD, discuss their research leveraging deep learning to predict how patients with ER+/HER2- breast cancer will respond to palbociclib.

Researchers sought to test the performance of a deep learning model system using longitudinal magnetic resonance imaging (MRI) in predicting early recurrence in patients with hepatocellular carcinoma.

Praveen Sivathapandi, is a IT leader who has more than 18 years of experience in various sectors such as healthcare, finance, automobiles, and logistics.