Every cell in the human body contains the same genetic instructions, encoded in its DNA. However, out of about 30,000 genes, each cell expresses only those genes that it needs to become a nerve cell, immune cell, or any of ...
Cell & Microbiology
Nov 16, 2023
0
101
A group of Skoltech scientists used machine learning (ML) methods to predict superhard materials based on their crystal structure.
Materials Science
Sep 10, 2020
0
63
Most people have heard the famous phrase "the enemy of my enemy is my friend." Now, Northwestern University researchers have used statistical physics to confirm the theory that underlies this famous axiom. The study, "Proper ...
Mathematics
May 3, 2024
0
187
On the global social media stage, it's not so much the message but rather network structure and competition for attention that determine whether a meme becomes popular and shows staying power or whether it falls by the wayside, ...
Mathematics
Apr 3, 2012
3
0
A major challenge in current climate prediction models is how to accurately represent clouds and their atmospheric heating and moistening. This challenge is behind the wide spread in climate prediction. Yet accurate predictions ...
Earth Sciences
Jun 20, 2018
14
283
A startup whose business model is based on tiny antennas receiving over-the-air television for online viewing by subscribers has put the US broadcast industry on the defensive.
Telecom
Apr 7, 2013
6
0
Information spreads fast in social networks. This could be observed during recent events. Now computer scientists from the German Saarland University provide the mathematical proof for this and come up with a surprising explanation.
Mathematics
May 21, 2012
0
1
Scientists from IBM today unveiled a breakthrough software ecosystem designed for programming silicon chips that have an architecture inspired by the function, low power, and compact volume of the brain. The technology could ...
Computer Sciences
Aug 8, 2013
7
1
Fusion reactor technologies are well-positioned to contribute to our future power needs in a safe and sustainable manner. Numerical models can provide researchers with information on the behavior of the fusion plasma, as ...
General Physics
Mar 22, 2021
0
326
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
