Artificial Intelligence Catalyzes Gene Activation Research and Uncovers Rare DNA Sequences

Biologists have used machine learning, a type of AI, to identify “synthetic extreme” DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and found synthetic DNA sequences with activities that could be useful in biotechnology and medicine.

Deep Learning-Drives Insights into Protein-Protein Interactions

Protein-protein interactions are essential for life. Researchers used DeepMind’s AlphaFold 2 to develop a deep learning approach for predicting and modeling multi-protein interactions. The AF2Complex approach generates much more accurate structural models than previous methods for modeling a protein complex. As a proof of concept, the researchers used AF2Complex to virtually screen key proteins in E. coli, discovering unexpected protein-protein interactions.

Earth Day 2023: Virginia Tech experts available to discuss environmental issues, research

The Virginia Tech media relations office has the following experts available for interviews surrounding the environment, energy, and sustainability. To schedule an interview, please contact [email protected]. Rising seas threatens U.S. coastlines and cities A recently released report from the U.N. on climate change found that rising sea levels are “unavoidable for centuries to millennia due to continuing deep ocean warming and ice sheet melt, and sea levels will remain elevated for thousands of years.

Analysis finds most countries are failing to report on and evaluate their AI Initiatives

WASHINGTON (March 13, 2023) – As countries around the world expand their use of artificial intelligence, the Organization for Economic Co-operation and Development (OECD) has developed the most comprehensive website on AI policy, the OECD.AI Policy Observatory. However, a new paper by…

National Energy Technology Laboratory and Pittsburgh Supercomputing Center Pioneer First Ever Computational Fluid Dynamics Simulation on Cerebras Wafer-Scale Engine

Cerebras Systems, the pioneer in high performance artificial intelligence (AI) compute, today announced, for the first time ever, the simulation of a high-resolution natural convection workload at near real-time rates.

Nanoengineers Develop a Predictive Database for Materials

Nanoengineers at the University of California San Diego’s Jacobs School of Engineering have developed an AI algorithm that predicts the structure and dynamic properties of any material—whether existing or new—almost instantaneously. Known as M3GNet, the algorithm was used to develop, a database of more than 31 million yet-to-be-synthesized materials with properties predicted by machine learning algorithms. facilitates the discovery of new technological materials with exceptional properties.