Today microcontrollers can be found in almost any technical device, from washing machines to blood pressure meters and wearables. Researchers at the Fraunhofer Institute for Microelectronic Circuits and Systems IMS have developed ...
Engineering
Jun 3, 2019
0
139
In the past 10 years, the best-performing artificial-intelligence systems—such as the speech recognizers on smartphones or Google's latest automatic translator—have resulted from a technique called "deep learning."
Computer Sciences
Apr 17, 2017
0
1871
(Phys.org)—Physicists have applied the ability of machine learning algorithms to learn from experience to one of the biggest challenges currently facing quantum computing: quantum error correction, which is used to design ...
The pioneers of holography (Gabor, Leith, Upatnieks, and Denisyuk) predicted very early that the ultimate 3D display will be based on this technique. This conviction was rooted in the fact that holography is the only approach ...
Optics & Photonics
Dec 27, 2021
1
245
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as ...
General Physics
Oct 18, 2021
1
3135
Artificial intelligence has revealed that prehistoric footprints thought to be made by a vicious dinosaur predator were in fact from a timid herbivore.
Paleontology & Fossils
Nov 15, 2022
2
501
Mathematicians from RUDN University and the Free University of Berlin have proposed a new approach to studying the probability distributions of observed data using artificial neural networks. The new approach works better ...
Mathematics
Feb 20, 2020
0
1567
Artificial intelligence (AI) holds real potential for improving both the speed and accuracy of medical diagnostics. But before clinicians can harness the power of AI to identify conditions in images such as X-rays, they have ...
Computer Sciences
Jul 6, 2018
0
362
Given that advanced mathematical training is critical for helping to solve some of the most challenging questions about the brain works, why are there so few mathematical neuroscientists?
Mathematics
Aug 21, 2015
0
262
Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have created an algorithm that can predict how memorable or forgettable an image is almost as accurately as humans—and they plan to ...
Computer Sciences
Dec 16, 2015
1
783
