A common problem in the geosciences is the need to deduce unseen physical structure based on limited observations. For instance, a ground-penetrating radar observation attempts to infer underground structure without any in ...
Earth Sciences
Apr 1, 2022
0
153
A novel glacier model has been developed which can simulate ice dynamics and ice interaction with the climate up to a thousand times faster than previous models. This model can be used to predict the evolution of glaciers ...
Earth Sciences
Mar 28, 2022
0
27
New research artificially creating a rare form of matter known as spin glass could spark a new paradigm in artificial intelligence by allowing algorithms to be directly printed as physical hardware. The unusual properties ...
Condensed Matter
Mar 28, 2022
0
520
Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but ...
Condensed Matter
Mar 24, 2022
0
167
Despite the sheer number of genes that each human cell contains, these so-called "coding" DNA sequences comprise just 1% of our entire genome. The remaining 99% is made up of "non-coding" DNA—which, unlike coding DNA, does ...
Molecular & Computational biology
Mar 9, 2022
2
268
Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the sun. Tests on three different sets of simulation data showed that it is possible to infer ...
Astronomy
Feb 25, 2022
0
94
One of the most promising applications of artificial intelligence technologies is the identification of tumors from high-resolution medical imagery. Can the same techniques be used to help paleontologists more quickly analyze ...
Paleontology & Fossils
Jan 27, 2022
0
845
Multitude of conspiracy theories people believe in all over the world is astonishing. They actually accompany each significant event: a catastrophe, assassination, death of a famous person or, currently, the COVID-19 pandemic. ...
Mathematics
Sep 28, 2021
0
78
Scientists from The University of Tokyo Institute of Industrial Science have designed a machine learning algorithm to predict the size of an individual cell as it grows and divides. By using an artificial neural network that ...
Molecular & Computational biology
Jul 9, 2021
0
13
Supercomputers could find themselves out of a job thanks to a suite of new machine learning models that produce rapid, accurate results using a normal laptop.
Materials Science
Jun 23, 2021
2
39
