Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The Canadian Press on MSN
Talking cows? NS researchers think they are getting closer to understanding moos
Researchers at Dalhousie University are hoping to answer that question. Led by Dr. Ghader Manafiazar, the team at Dalhousie’s ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
AI bots told to act as trading agents in simulated markets engaged in pervasive collusion, raising new questions about how ...
Abstract: Feature extraction and selection in the presence of nonlinear dependencies among the data is a fundamental challenge in unsupervised learning. We propose using a Gram-Schmidt (GS) type ...
A Tesla robotaxi with safety driver (Tesla calls them a monitor) in the Austin deployment. Posters and reported a few sightings of Tesla robotaxis in Austin, TX operating with nobody in them, neither ...
Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
Abstract: The main challenge of multimodal change detection (MCD) is that multimodal bitemporal images (MBIs) cannot be compared directly to identify changes. To overcome this problem, this paper ...
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