Traditional disease detection methods in agriculture often rely on manual observation by specialists, a process that is labor ...

The study reveals that AI systems offer promising accuracy in predicting treatment outcomes, particularly when used to ...

Researchers assembled a retrospective dataset from 2015 to 2024, including 395 patients with pathologically confirmed endometriosis and an age-matched control group of 356 patients who had undergone ...

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 addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

Broadcom AVGO introduced Incident Prediction, which extends the security feature of Adaptive Protection, a unique capability ...

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

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.

Ocean observation today is confronted with significant challenges, including limited adaptability to complex environments, low efficiency in handling ...

The El Niño phenomenon in the South Atlantic and Benguela current, which flows along the west coast of southern Africa, have ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive ...