DeepMind’s AlphaFold has uncovered the structures of more than 200 million proteins, essentially all of those known to science.
A durable bioadhesive hydrogel-elastomer enables continuous imaging of internal organs and tissues.
National Hurricane Center data for Miami, Washington, D.C., and New York City show development happening in at-risk areas, even as climate change brings more frequent and intense storms.
In late 2020, Alphabet’s DeepMind division unveiled its novel protein fold prediction algorithm, AlphaFold, and helped solve a scientific quandary that had stumped researchers for half a century. In the year since its beta release, half a million scientists from around the world have accessed the AI system’s results and cited them in their own studies more than 4,000 times. On Thursday, DeepMind announced that it is increasing that access even further by radically expanding its publicly-available AlphaFold Protein Structure Database (AlphaFoldDB) — from 1 million entries to 200 million entries.
Alphabet partnered with EMBL’s European Bioinformatics Institute (EMBL-EBI) for this undertaking, which covers proteins from across the kingdoms of life — animal, plant, fungi, bacteria and others. The results can be viewed on the UniProt, Ensembl, and OpenTargets websites or downloaded individually via GitHub, “for the human proteome and for the proteomes of 47 other key organisms important in research and global health,” per the AlphaFold website.
“AlphaFold is the singular and momentous advance in life science that demonstrates the power of AI,” Eric Topol, Founder and Director of the Scripps Research Translational Institute, siad in a press statement Thursday. “Determining the 3D structure of a protein used to take many months or years, it now takes seconds. AlphaFold has already accelerated and enabled massive discoveries, including cracking the structure of the nuclear pore complex. And with this new addition of structures illuminating nearly the entire protein universe, we can expect more biological mysteries to be solved each day.”
Imagine for a second that the planet we live on, the solar system, our galaxy, and eventually the entire universe we see as infinite is no more than a simulation. What then?
According to a new theory by computer scientists, our universe may be simulated. So what we perceive as “ghosts” could be small pieces of evidence that suggest the universe we live in is simulated.
It’s called the simulation theory, and it proposes that we are no more than “avatars” in a universe that is entirely simulated.
Gen-Z users of social media are flocking to new more visual sites like Twitch. TV, Discord, BeReal, and Poparazzi.
Microwave-driven holonomic quantum gates on an optically selected electron spin in a nitrogen-vacancy centre in diamond are demonstrated. Optically addressable entanglement is generated between the electron and adjacent nitrogen nuclear spin.
Perovskites, mineral materials composed of calcium titanate, have been found to be valuable for the fabrication of high-performance solar cells. While teams of scientists and engineers worldwide have been developing and testing perovskite solar cells in laboratory settings, large-scale outdoor evaluations of these cells are still lacking.
Researchers at University of Rome Tor Vergata, the Hellenic Mediterranean University in Crete, BeDimensional S.p. A., Great Cell, the Italian Institute of Technology (IIT) and University of Siena have recently manufactured large-area perovskite solar panels engineered using two-dimensional (2D) materials. They then successfully integrated 9 of these solar panels into a stand-alone solar farm, located on the Greek island of Crete. This team’s findings, presented in a paper published in Nature Energy, could facilitate and inform the future large-scale implementation of perovskite solar cells.
“Our recent paper highlights our joint research efforts for the last 5 years in the upscaling of perovskite PVs, starting from lab cells to modules, panels and finally to a solar farm infrastructure,” Francesco Bonaccorso, one of the researchers who carried out the study, told to Tech Xplore. “This project was specifically developed in the context of the European Graphene Flagship initiative, which established a close collaboration between University Tor Vergata, BeDimensional S.p. A., GreatCell and Hellenic Mediterranean University, having both complementary and widely different skillsets.”
State company tested how artificial intelligence could minimise electricity disruptions and now looks to expand the technology.
MIT scientists have managed to build neural networks that are both faster and cheaper to produce while using less energy.