To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

“The system was customized during a pilot phase, and AIIMS aims to eventually develop its own AI tool. While still ...

February 13, 2026. This webinar describes how Deep Learning methods can be used for object detection and segmentation in high resolution drone imagery using ArcGIS Pro.

AI enables threat actors to improve their methods, identify targets, and infiltrate hiring systems through fake resumes, deepfakes, and manipulated interviews. Companies need to be prepared to detect ...

Abstract: Mobile Edge Computing (MEC) effectively addresses the real-time data processing needs of devices by providing computing resources closer to data-generating devices. Efficient scheduling of ...

BioCompNet: a dual-channel deep learning framework for automated body composition analysis from fat-water MRI sequences. (A) Schematic of the dual-channel 2-dimensional (2D) U-Net architecture used to ...

VANCOUVER, BC, Nov. 11, 2025 /PRNewswire/ -- Wondershare, a global leader in creative and productivity products and solutions, today announced the launch of Wondershare Filmora V15, marking a major ...

The echocardiography in PAH deep learning workflow demonstrated good accuracy and acceptable precision for peak TRV, RV basal diameter, TAPSE, and RA area. A fully automated deep learning (DL) ...

Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, United States Introduction: Data sharing is essential for advancing research in radiation oncology, particularly for training artificial ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...

An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results. Results ...