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A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long ...
Humans are innately capable of recognizing other people they have seen before. This capability ultimately allows them to ...
Feature representation has been widely used and developed recently. Multiscale features have led to remarkable breakthroughs for representation learning process in many computer vision tasks. This ...
For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...
In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...
Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...
QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...
Sequence learning from real-time videos is one of the hard challenges to current machine learning technologies and classic neural networks. Since existing supervised learning technologies are heavily ...
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