Scientists have trained an artificial intelligence (AI) system to accurately map—in one-hundredth of a second—the surface area and outline of giant icebergs captured on satellite images. The paper, titled "Mapping the ...
Earth Sciences
Nov 8, 2023
0
27
In the 18th century, the philosopher David Hume observed that induction—inferring the future based on what's happened in the past—can never be reliable. In 1997, SFI Professor David Wolpert with his colleague Bill Macready ...
Mathematics
Jun 5, 2023
0
45
Vacation photos of zebras and whales that tourists post on social media may have a benefit they never expected: helping researchers track and gather information on endangered species.
Ecology
Feb 20, 2022
1
891
Nanoengineers at the University of California San Diego have developed a computer-based method that could make it less labor-intensive to determine the crystal structures of various materials and molecules, including alloys, ...
Materials Science
Jan 30, 2020
0
600
Gossip is an efficient way to share information across large networks and has unexpected applications in solving other mathematical and machine-learning problems.
Machine learning & AI
Jul 8, 2019
0
0
Using artificial neural networks designed to emulate the inner workings of the human brain, deep-learning algorithms deftly peruse and analyze large quantities of data. Applying this technique to science problems can help ...
Molecular & Computational biology
Mar 28, 2019
0
405
With antibiotic-resistant infections on the rise and a continually morphing pandemic virus, it's easy to see why researchers want to be able to design engineered nanoparticles that can shut down these infections.
Bio & Medicine
May 16, 2022
0
197
Does it conduct electricity? Or insulate against electricity? Physicists commonly classify material phases as one or the other. Machine learning is a powerful tool for pattern recognition and thus could help identify phases ...
General Physics
Jan 8, 2018
1
145
Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world's most problematic disease-causing bacteria, including some strains ...
Molecular & Computational biology
Feb 20, 2020
2
154
Classifying celestial objects is a long-standing problem. With sources at near unimaginable distances, sometimes it's difficult for researchers to distinguish between objects such as stars, galaxies, quasars or supernovae.
Astronomy
May 27, 2022
0
133
