Antimicrobial resistance is one of the greatest threats facing humanity, making the need for new antibiotics more critical than ever. While most antibiotics...
Determining by means of paleography the chronology of ancient handwritten manuscripts such as the Dead Sea Scrolls is essential for reconstructing the...
An accurate description of low-density nuclear matter is crucial for explaining the physics of neutron star crusts, according to a team of theoretical...
An international team of scientists has developed a specific mathematical model that closely matches how a human brain works when it comes to reading vision....
Human infants are fascinated by other people. They bring to this fascination a constellation of rich and flexible expectations about the intentions motivating...
Using a new deep learning algorithm and data from the Galaxy Zoo citizen science project, astronomers have discovered 40,000 ring galaxies.
This Hubble...
A team of researchers from the University of California, San Diego, the Universidad Nacional de La Plata and the Kavli Institute for Brain and Mind has...
A team of astrophysicists from the United States and Korea has created a new dark-matter distribution map using a neural network-based deep learning method...
Using a deep residual neural network and data from the Dark Energy Spectroscopic Instrument (DESI) Legacy Imaging Surveys, astronomers have discovered...
Scientists from Gero Pte. Ltd., Singapore, have used a deep neural network to search for host-target acting antivirals among experimental and approved...
A team of scientists at MIT has developed a system for converting protein sequences into audible sound that resembles musical passages. Then, reversing...
