Researchers have developed a new end-to-end neural network that can speed up the reconstruction of holographic images. Unlike other deep learning techniques, the approach can be used on samples not encountered during training, ...
Optics & Photonics
Sep 22, 2022
0
19
NUS mathematicians have developed a new theoretical framework based on dynamical systems to understand when and how a deep neural network can learn arbitrary relationships.
Mathematics
Sep 14, 2022
0
17
Invasive plant species do more than harm agriculture and native species as they reshape landscapes. They also cause economic losses of more than $20 billion annually in the U.S. alone. Identifying where and how quickly invasive ...
Ecology
Aug 10, 2022
0
14
A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules.
General Physics
Aug 8, 2022
0
959
Polymer membranes are commonly used in industry for the separation of gases like CO2 from flue gas and methane from natural gas. Over several decades, researchers have been studying various polymers to improve their permeability ...
Materials Science
Jul 25, 2022
1
123
It's been nearly a century since astronomer Fritz Zwicky first calculated the mass of the Coma Cluster, a dense collection of almost 1,000 galaxies located in the nearby universe. But estimating the mass of something so huge ...
Astronomy
Jul 19, 2022
1
1188
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
Math is the language of the physical world, and Alex Townsend sees mathematical patterns everywhere: in weather, in the way soundwaves move, and even in the spots or stripes zebra fish develop in embryos.
Mathematics
Apr 5, 2022
0
121
