Search Results - jonathan+ashdown

3 Results Sort By:
OffloaDNN: Shaping DNNs for Scalable Offloading of Computer Vision Tasks at the Edge
OffloaDNN enhances mobile CV task execution by optimizing DNN layers, reducing memory use by 82.5%, and increasing task handling by 26.9% https://nu.technologypublisher.com/files/sites/adobestock_810835118.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-23.jpg Source Adobe Stock By Yasiru # 810835118 Background: The...
Published: 6/26/2025   |   Inventor(s): Francesco Restuccia, Tanzil Hassan, Carla Fabiana Chiasserini, Corrado Puligheddu, Nancy Varshney, Jonathan Ashdown
Keywords(s): Computational Offloading, Edge devices, Resource allocation
Category(s): Technology Classifications > WIoT, Technology Classifications > 3. Computer Science > AI
Faster and Accurate Neural Networks with Semantic Inference
SINF intelligently clusters inputs to selectively engage DNN subgraphs, reducing computational load while maintaining high accuracy. https://nu.technologypublisher.com/files/sites/adobestock_367338925.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-21.jpg Source Adobe Stock By Summit Art Creations # 367338925 Background The...
Published: 1/31/2025   |   Inventor(s): Francesco Restuccia, Jonathan Ashdown, A Q M Sazzad Sayyed
Keywords(s): Artificial intelligence, computer vision and deep learning, Efficient computing
Category(s): Technology Classifications > 3. Computer Science, Technology Classifications > WIoT
3D-O-RAN: Dynamic Data Driven Open Radio Access Network Systems
3D-O-RAN enhances O-RAN with semantic slicing and dynamic neural certification for cost-effective, interoperable network performance https://nu.technologypublisher.com/files/sites/adobestock_964178767.jpeg https://nu.testtechnologypublisher.com/files/sites/mark-saulich-13.jpg Source Adobe Stock: By Ahmed 964178767 Background In the rapidly...
Published: 1/31/2025   |   Inventor(s): Francesco Restuccia, Erik Blasch, Jonathan Ashdown, Kurt Turck
Keywords(s):  
Category(s): Technology Classifications > 3. Computer Science, Technology Classifications > WIoT