Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a ...

IonQ's quantum computing approach yields more accurate results. Rigetti Computing has not yet been advanced to the next stage of a key government-funded quantum computing benchmarking initiative. 10 ...

Abstract: In the domains of image processing and computer vision, the exploration of hexagonal image processing systems has emerged as a fundamentally innovative yet nascent methodology that is ...

We introduce IGOR, a framework that learns latent actions from Internet-scale videos that enable cross-embodiment and cross-task generalization. IGOR learns a unified latent action space for humans ...

Abstract: With the growing popularity of federated learning, the security of training models against backdoor attacks has become a key challenge. Existing defense schemes often fail to address the ...