Can a computer learn from the past and anticipate what will happen next, like a human? You might not be surprised to hear that some cutting-edge AI models could achieve this feat, but what about a computer that looks a little ...
Quantum Physics
May 26, 2023
6
164
Salamandra robotica II is a last generation amphibious robot developed by the Biorobotics Laboratory at EPFL (École Polytechnique Fédérale de Lausanne). It is the guest of honor at the booth of Syrobo, the founder of Innorobo, ...
Robotics
Mar 19, 2013
6
0
Constructing a neural network model for each new dataset is the ultimate nightmare for every data scientist. What if you could forecast the accuracy of the neural network earlier thanks to accumulated experience and approximation? ...
Computer Sciences
Dec 14, 2018
0
40
Every cell in the human body contains the same genetic instructions, encoded in its DNA. However, out of about 30,000 genes, each cell expresses only those genes that it needs to become a nerve cell, immune cell, or any of ...
Cell & Microbiology
Nov 16, 2023
0
101
(Phys.org) —A team of researchers made up of one biologist and four mathematicians has found an example of natural selection providing an organism with optimal behavior. In their paper published in Proceedings of the National ...
A group of Skoltech scientists used machine learning (ML) methods to predict superhard materials based on their crystal structure.
Materials Science
Sep 10, 2020
0
63
A major challenge in current climate prediction models is how to accurately represent clouds and their atmospheric heating and moistening. This challenge is behind the wide spread in climate prediction. Yet accurate predictions ...
Earth Sciences
Jun 20, 2018
14
283
Scientists from IBM today unveiled a breakthrough software ecosystem designed for programming silicon chips that have an architecture inspired by the function, low power, and compact volume of the brain. The technology could ...
Computer Sciences
Aug 8, 2013
7
1
Fusion reactor technologies are well-positioned to contribute to our future power needs in a safe and sustainable manner. Numerical models can provide researchers with information on the behavior of the fusion plasma, as ...
General Physics
Mar 22, 2021
0
326
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
