AI is transforming research. These AI tools for research will help you keep up with the times and take your research to the next level.

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

Quantum computing future explained through cryptography, optimization, and AI breakthroughs showing how quantum computing ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Companies and researchers can use aggregated, anonymized LinkedIn data to spot trends in the job market. This means looking ...

Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and myocardial fibrosis plays a central role in the pathophysiology process.

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Abstract: This research develops a machine vision algorithm integrating deep learning feature extraction (ResNet-based), edge computing optimization (TensorRT), and fast reconstruction (ICP) to ...

Abstract: This paper studies the method of carotid ultrasound feature extraction based on machine learning and explores its application in stroke prediction. First, through high-quality carotid ...

1 Department of Geomatic Engineering, University of Mines and Technology, Tarkwa, Ghana. 2 Department of Geomatic and Civil Engineering, University of Mines and Technology, Essikado, Ghana. Accurate ...

A total of 8,598 children were enrolled and classified into three groups: ADHD (n=3,678), subthreshold ADHD (s-ADHD) (n=1,495), and healthy controls (HC) (n=3,425). Data collection covered 40 ...