Research teams all over the world are exploring different ways to design a working computing chip that can integrate quantum interactions. Now, Australian and Dutch engineers believe they have cracked the problem, reimagining the silicon microprocessors we know to create a complete design for a quantum computer chip that can be manufactured using mostly standard industry processes and components.
Presenting their work at this year's Conference on Neural Information Processing Systems, Prof. Josh Tenenbaum and one of his students, Jiajun Wu, are co-authors on four papers that examine the fundamental cognitive abilities that an intelligent agent requires to navigate the world: discerning distinct objects and inferring how they respond to physical forces.
Article describes development of a deep learning neural network to predict disruptions on fusion plasmas.
Brown University researchers have developed software that lets users control robots over the internet with off-the-shelf virtual reality hardware.
A team from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) shows that we'd have fewer traffic jams if we stopped tailgating.
A University at Buffalo-led team of researchers has discovered how to identify smartphones by examining just one photo taken by the device. The advancement opens the possibility of using smartphones -- instead of body parts -- as a form of identification to deter cybercrime.
In their new study, a Wyss Institute/Max Planck Institute team adapted DNA-PAINT technology to microscopes that are widespread among cell biology laboratories, called confocal microscopes, and that are used by researchers to image whole cells and thicker tissues at lower resolution. The MPI/Wyss Institute team demonstrates that the method can visualize a variety of different molecules, including combinations of different proteins, RNAs and DNA throughout the entire depth of whole cells at super-resolution.
An international team of researchers, affiliated with South Korea's Ulsan National Institute of Science and Technology (UNIST) has presented a core technology for quantum photonic devices used in quantum information processing. Their work has been published in the November issue of the prestigious journal, Nano Letters.
In several recent papers, researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Qatar Computing Research Institute have used a recently developed interpretive technique, which had been applied in other areas, to analyze neural networks trained to do machine translation and speech recognition.
A quantum information scientist from the National University of Singapore has developed efficient 'toolboxes' comprising theoretical tools and protocols for quantifying the security of high-speed quantum communication.