by RLE at MIT | Feb 16, 2023 | News Links
The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods. «more» Related Links: Efficient technique improves machine-learning models’ reliability (MIT News)...
by RLE at MIT | Feb 16, 2023 | RLE Recent Papers
Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory Wornell doi: arXiv:2212.07359v1 Abstract: It is known that neural networks have the problem of being over-confident when directly using the output label distribution to generate...
by RLE at MIT | Feb 15, 2023 | News Links
Using lasers, researchers can directly control a property of nuclei called spin, that can encode quantum information. «more» Related Links: Engineers discover a new way to control atomic nuclei as “qubits” (MIT News) Professor Paola Cappellaro Quantum...
by RLE at MIT | Feb 15, 2023 | RLE Recent Papers
Haowei Xu, Changhao Li, Guoqing Wang, Hua Wang, Hao Tang, Ariel Rebekah Barr, Paola Cappellaro, and Ju Li doi: 10.1103/PhysRevX.13.011017 Abstract: Photons and nuclear spins are two well-known building blocks in quantum information science and technology....
by RLE at MIT | Feb 10, 2023 | RLE Recent Papers
Jack Y. Qiu, Arne Grimsmo, Kaidong Peng, Bharath Kannan, Benjamin Lienhard, Youngkyu Sung, Philip Krantz, Vladimir Bolkhovsky, Greg Calusine, David Kim, Alex Melville, Bethany M. Niedzielski, Jonilyn...