In the News

Sep 17, 2019

Argonne team developing MaLTESE for onboard realtime adaptive learning and controls

Green Car Congress

Researchers at Argonne National Laboratory are developing a deep learning framework—MaLTESE (Machine Learning Tool for Engine Simulations and Experiments)—to meet ever-increasing demands to deliver better engine performance, fuel economy and reduced emissions.

Sep 16, 2019

Deep learning at scale for the construction of galaxy catalogs


In a new study, researchers from NCSA and the ALCF have developed a novel combination of deep learning methods to provide a highly accurate approach to classifying hundreds of millions of unlabeled galaxies.

Sep 13, 2019

How ants, bees, and fruit flies can be the next big buzz in artificial intelligence

Tech Xplore

With help from the ALCF's Theta supercomputer, an Argonne research team designed and simulated a new neuromorphic chip inspired by the tiny brain structure of bees, fruit flies, and ants.

Sep 13, 2019

DOE Argonne Researchers Develop AI Tools to Improve Engine Efficiencies


Utilizing supercomputing resources at the ALCF, Argonne researchers are developing MaLTESE with autonomous — or self-driving — and cloud-connected vehicles in mind. But first they hope the framework can be used to develop a manufacturer-like onboard system that combines the power of HPC and...

Sep 13, 2019

Exascale computing unlocks new avenues for science

Federal News Network

Breakthroughs in research, and the availability of new technologies to empower them, often walk hand-in-hand. In 2021, when the Aurora exascale computing system will come online at the Department of Energy’s Argonne National Laboratory, scientists will gain the capability to take on projects of...

Sep 11, 2019

DOE Funds Argonne for better materials and chemistry through data science


The DOE Office of Science (Basic Energy Sciences) has announced that its Argonne National Laboratory will be receiving funding for two new projects that will use data science to accelerate discovery in chemistry and material sciences.

Sep 11, 2019

AI to help drive engine efficiencies on the road

Tech Xplore

Using the ALCF's Theta supercomputer, researchers at Argonne are developing the deep learning framework MaLTESE (Machine Learning Tool for Engine Simulations and Experiments) to meet ever-increasing demands to deliver better engine performance, fuel economy, and reduced emissions.

Sep 5, 2019

Argonne Summer Program Students Tackle Research Projects at Forefront of High-Performance Computing


For many students, the summer break means a chance to sleep in, enjoy the sun, and spend a few days at the beach. For the 29 students who spent their summers at the ALCF, break meant a chance to embark on scientific endeavors, gaining valuable experience at a world-class research center.

Aug 26, 2019

Three Experts Share Their Insights on Exascale Computing

Built In

The world's fastest supercomputers will soon be left in the dust by so-called "exascale" machines. Built In talked with three authorities from DOE, including Argonne's Bobby Kasthuri, about the futuristic, and future-impacting, technology.

Aug 22, 2019

Running multi-site, heterogeneous, compute that our users manage: Queue Managers evolution and lessons

MolSSI QC Archive

In a blog post from the Molecular Sciences Software Institute (MolSSI), researchers discuss software to handle distributing and managing compute resources. To test their capabilities, the team used the Balsam service on the ALCF's Theta system.