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
Despite the sheer number of genes that each human cell contains, these so-called "coding" DNA sequences comprise just 1% of our entire genome. The remaining 99% is made up of "non-coding" DNA—which, unlike coding DNA, does ...
Molecular & Computational biology
Mar 9, 2022
2
268
Dude, what if everything around us was just ... a hologram?
Quantum Physics
Feb 14, 2022
11
2633
Since artificial intelligence pioneer Marvin Minsky patented the principle of confocal microscopy in 1957, it has become the workhorse standard in life science laboratories worldwide, due to its superior contrast over traditional ...
Biotechnology
Nov 24, 2021
0
302
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as ...
General Physics
Oct 18, 2021
1
3135
Within the microscopic boundaries of a single human cell, the intricate folds and arrangements of protein and DNA bundles dictate a person's fate: which genes are expressed, which are suppressed, and—importantly—whether ...
Biotechnology
Oct 11, 2021
0
152
Scientists have waited months for access to highly accurate protein structure prediction since DeepMind presented remarkable progress in this area at the 2020 Critical Assessment of Structure Prediction, or CASP14, conference. ...
Molecular & Computational biology
Jul 15, 2021
0
5576
Physical principles can be incorporated in a machine learning architecture as a fundamental setup to develop artificial intelligence for inorganic materials. In a new report now on Science Advances, Huta R. Banjade, and a ...
Multifunctional and diverse artificial neural systems can incorporate multimodal plasticity, memory and supervised learning functions to assist neuromorphic computation. In a new report, Jinran Yu and a research team in nanoenergy, ...
Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron device developed by researchers ...
Nanophysics
Mar 18, 2021
0
621
