A team of researchers affiliated with multiple institutions in the U.S., including Google Quantum AI, and a colleague in Australia, has developed a theory suggesting that quantum computers should be exponentially faster on ...
Molecular machines that kill infectious bacteria have been taught to see their mission in a new light.
Bio & Medicine
Jun 1, 2022
0
108
Artificial intelligence (AI) algorithms trained on real astronomical observations now outperform astronomers in sifting through massive amounts of data to find new exploding stars, identify new types of galaxies and detect ...
Astronomy
May 24, 2022
0
4187
An enzyme variant created by engineers and scientists at The University of Texas at Austin can break down environment-throttling plastics that typically take centuries to degrade in just a matter of hours to days.
Polymers
Apr 27, 2022
19
1100
At least hundreds of so-far unidentified species of mammals are hiding in plain sight around the world, a new study suggests.
Plants & Animals
Mar 28, 2022
0
461
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
Black holes with masses equivalent to millions of suns do put a brake on the birth of new stars, say astronomers. Using machine learning and three state-of-the-art simulations to back up results from a large sky survey, researchers ...
Astronomy
Mar 22, 2022
1
378
Morphogenesis is nature's way of building diverse structures and functions out of a fixed set of components. While nature is rich with examples of morphogenesis—cell differentiation, embryonic development and cytoskeleton ...
Materials Science
Feb 23, 2022
0
107
In the first millionths of a second after the Big Bang, the universe was a roiling, trillion-degree plasma of quarks and gluons—elementary particles that briefly glommed together in countless combinations before cooling ...
Plasma Physics
Jan 21, 2022
8
3148
Lawrence Livermore National Laboratory (LLNL) researchers and a multi-institutional team of scientists have developed a highly detailed, machine learning-backed multiscale model revealing the importance of lipids to the signaling ...
Biotechnology
Jan 11, 2022
0
107
