Abstract: As a ubiquitous portable device, mobile phones play an important role in large-scale data collection and remote health detection. Parkinson's disease (PD), a typical movement disorder, can ...
This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by combining video understanding ...
This study presents KEPT, an AI system that helps self-driving cars predict their own short-term path more safely by ...
Abstract: Self-supervised learning has shown strong potential for remote sensing semantic segmentation by exploiting large amounts of unlabeled data. However, existing methods face several challenges ...
The U.S.’ top automotive safety regulator is notching up its investigation into the performance of Tesla’s Full Self-Driving (Supervised) driving software in low-visibility conditions. The National ...
Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...
Recently, federated learning has been successfully applied in fields related to cyber-physical-social systems (CPSSs), owing to its ability to harness decentralized clients for training a global model ...
This November, I rented a Tesla Model Y and drove it for about 150 miles, depending on your personal definition of “driving.” For about 145 of those miles, I let Tesla’s “Full Self-Driving (Supervised ...
Humans are the species with both the greatest capacity for self-sabotage and the greatest capacity for learning. We see evidence of this constantly in everyday life and in world news. In this essay, I ...
The proliferation of digital platforms has enabled fraudsters to deploy sophisticated camouflage techniques, such as multi-hop collaborative attacks, to evade detection. Traditional Graph Neural ...
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