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.
Tag: Artificial Inteligence
GW Experts on White House AI Risk Mitigation Initiatives
WASHINGTON (May 4, 2023) – The Biden administration announced a slate of initiatives aimed at reducing the risks posed by rapidly advancing artificial intelligence systems. The list of measures includes $140 million for new AI research centers and a promise to…
Extra, extra, read all about it!: NYU Tandon School of Engineering supports innovators using AI to boost local journalism
NYU Tandon School of Engineering’s NYC Media Lab unveiled this year’s cohort for the AI & Local News Challenge, a program in which tech innovators leverage artificial intelligence in projects that enhance local news organizations and the journalism they produce.
Partnership Aims to Detect Bladder Tumors Earlier with Help of AI
Hackensack Meridian Health, the state’s largest and most comprehensive health network, is partnering with Etta.io., a Denver-based healthcare technology startup that builds Artificial Intelligence (AI) applications to detect tumors difficult to see with the naked eye, even for specialists.
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.
New Study: Black AI Bots Perceived As More Competent and Human Than White or Asian Bots (Video Explainer)
Black artificial intelligence chatbots were perceived as more competent and more human by consumers than White or Asian AI bots during a marketing simulation, according to a new study.
AI tool gains doctors’ trust by giving advice like a colleague
A new Cornell University-led study suggests that if artificial intelligence tools can counsel a doctor like a colleague – pointing out relevant research that supports the decision – then doctors can better weigh the merits of the recommendation.
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.
CMU Research Supported by PSC Wins Artificial Intelligence Award
Tuomas Sandholm’s work since 2010 to improve the fairness and effectiveness of organ donations using PSC supercomputers has won the 2023 AAAI Award for Artificial Intelligence for the Benefit of Humanity.
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 matterverse.ai, a database of more than 31 million yet-to-be-synthesized materials with properties predicted by machine learning algorithms. Matterverse.ai facilitates the discovery of new technological materials with exceptional properties.