Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool ...
Astronomy
Jul 6, 2022
0
45
Recent advances in pre-programmed architected materials could enable new functions that can evolve in response to their environments or external stimuli, according to Lawrence Livermore National Laboratory (LLNL) researchers.
Materials Science
Jun 23, 2022
0
95
The biotech industry is constantly searching for the perfect mutation, where properties from different proteins are synthetically combined to achieve a desired effect. It may be necessary to develop new medicaments or enzymes ...
Biotechnology
May 4, 2022
0
208
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
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
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
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
Discovering the Higgs boson in 2012 was only the start. Physicists immediately began measuring its properties, an investigation that is still ongoing as they try to unravel if the Higgs mechanism is realized in nature as ...
General Physics
May 21, 2021
0
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