A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

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.

Overview Covers in-demand tech skills, including AI, cloud computing, cybersecurity, and full-stack development for ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

Vessel density in the deep capillary plexus reflects disease activity and structural involvement in thyroid eye disease.

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

In the rapidly evolving landscape of healthcare technology, AI-driven medical imaging and diagnostics have surged to the forefront, transforming how clinicians detect, analyze, and treat diseases. As ...

A recent study by the Laboratory for Neuro-Analysis and Imaging (LANAI) at UMass Chan Medical School highlights how ...

Early adopters will be able to secure a lasting advantage over slow movers. Given these are still the early days of agentic and gen AI, it is imperative to use surgical precision to identify where ...

A Lawrence Technological University graduate student originally from Kazakhstan is helping redefine precision in robotic ...