In a paper in the prestigious journal Science to appear on Feb. 29, 2024, a multi-institutional team led by scientists at Carnegie Mellon University and University of California at Berkeley found parts of the genome, both within genes and outside of them, that evolved and are associated with vocal learning across mammals. These elements have been linked to autism in humans.
PSC’s Neocortex AI system is among six national AI supercomputers participating in a pilot program to support novel and transformative AI research and education at a national scale.
We’ve learned a lot about the Universe from telescopes that are sensitive to anything from high-energy gamma waves to visible light to low-energy radio waves. But detecting such electromagnetic waves has limitations.
We might think that, if you want to feed more people in areas with food insecurity, you can just grow more food. But it isn’t that simple.
A set of nine scientific papers was released today in the Nature family of journals and the journal Cell Reports describing breakthroughs in creating an open framework for scientists to map the individual cells of the human body in two and three dimensions.
James Barr von Oehsen has been selected as the director of the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh. Von Oehsen is a leader in the fields of cyberinfrastructure, research computing, advanced networking, data science and information technology.
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.
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.
A team at Ohio University used the Pittsburgh Supercomputing Center’s Bridges-2 system to carry out a series of simulations showing how coal might eventually be converted to valuable — and carbon-neutral — materials like graphite and carbon nanotubes.
Science performed with the Pittsburgh Supercomputing Center’s advanced research computers has been recognized with two HPCwire Editors’ Choice Awards, presented at the SC22 conference in Dallas, Texas.
Teams at the Pittsburgh Supercomputing Center, University of Pittsburgh and the Carnegie Mellon University School of Computer Science will lead collaborations and provide computing, software and data infrastructure as part of an international network of centers working to create a kind of cell-level Google Maps for the human body.
The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.
The Neocortex high-performance AI computer at the Pittsburgh Supercomputing Center has been upgraded with two new Cerebras CS-2 systems. The WSE-2 technology doubles the system’s cores and on-chip memory and enables faster training, larger models and larger input data.
Despite the lifesaving success of the COVID-19 vaccines, very rare side effects have emerged. Vaccines engineered from the otherwise-mild adenovirus, for example, have been linked to blood clots. Scientists from Arizona State University, the Mayo Clinic, AstraZeneca and elsewhere have performed simulations on PSC’s Bridges-2 system that suggest simple electrical charge may make a protein involved in blood clot formation stick to particles of the AstraZeneca vaccine. The discovery will be the foundation of an effort to explain how the side effect happens and how the vaccine can be re-engineered to prevent it.
The MiikeMineStamps dataset of stamps provides a unique window into the workings of a large Japanese corporation, opening unprecedented possibilities for researchers in the humanities and social sciences. But some of the stamps in this archive only appear in a small number of instances. This makes for a “long tail” distribution that poses particular challenges for AI learning, including fields in which AI has experienced serious failures. A collaboration between scientists at the University of Pittsburgh (Pitt), PSC, DeepMap Inc. of California and Carnegie Mellon University (CMU) took up this challenge, using PSC’s Bridges and Bridges-2 systems to build a new machine learning (ML) based tool for analyzing “long tail” distributions.
A global partnership has set its sights on nothing less than making malaria — an implacable enemy that predates the human race — nothing more than a bad memory. VECNet, the Vector Ecology and Control Network, aims to get there by combining and supporting the ingenuity of researchers, engineers, public health officials, national decision makers and funding agencies. The idea is to create a computer model that allows malaria-battling stakeholders to join efforts.
Pittsburgh Supercomputing Center (PSC) and the University of Notre Dame have received up to $1.6 million in funding from the Bill & Melinda Gates Foundation to develop a system of computers and software for the Vector Ecology and Control Network (VECNet), an international consortium to eradicate malaria.
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