Soujanya Reddy Annapareddy earned a 2025 Global Recognition Award for an edge AI framework that delivers real-time fault ...
Telitacicept, a new dual inhibitor of the cytokines B-lymphocyte stimulator (BLyS) and APRIL (a proliferation-inducing ligand ...
Tech Xplore on MSN
Two AI methods can improve wind speed predictions for wind farms
Last year, wind energy accounted for 23.2% of all energy injected into the Spanish electricity system, according to data ...
HOUSTON, Oct. 15, 2025 (GLOBE NEWSWIRE) -- Baylor Genetics, a clinical diagnostic laboratory at the forefront of genetic testing, today showcased new research in RNA sequencing (RNA-seq) to uncover ...
Introduction This project aims to comprehensively examine the incidence of suicidality, individual and population characteristics, and health pathways, for a cohort of Australian veterans using linked ...
The growing volume and complexity of omics data have created a need for standardized and user-friendly analysis approaches. Workshops and sessions on R-based data processing have become highly ...
The complex sugar molecules that festoon our cells are often treated as little more than biological decoration. A new study suggests they hold hidden patterns—distinct signatures that can separate one ...
Many organizations have already begun to realize the benefits of artificial intelligence, from automating routine tasks to ...
It is a time consuming, high effort and data intensive task to inspect a levee. That means it is also expensive. Thanks to ...
At the edge Models are built on the cloud and applied at the edge. Moving data from inspection/metrology systems to the cloud to make a decision to execute back at the system is simply impractical.
When a good die fails test and gets scrapped, often no one notices, because false failures look identical to real ones. Yet across the industry, these phantom defects are quietly eroding yield, ...
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