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In its 15th year, INCITE advances open science with supercomputer grants to 47 projects

The U.S. Department of Energy has awarded supercomputing time to 47 science projects for 2020 through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.

November 18, 2019
  • CANDLE

Automating the development of deep-learning-based predictive models for cancer research

Argonne researchers have created a neural architecture search that automates the development of deep-learning-based predictive models for cancer data.

November 15, 2019
  • supernova visualization

Argonne researchers to share scientific computing insights at SC19

At SC19, more than 90 Argonne researchers will share insights and advances on topics ranging from exascale computing and big data analysis to artificial intelligence and quantum computing.

November 14, 2019
  • Beyond-pure-projection x-ray image reconstruction

ALCF selects new projects for data science program

The Argonne Leadership Computing Facility (ALCF), a U.S. Department of Energy (DOE) Office of Science User Facility, has selected three new projects and renewed three ongoing projects for the 2019-2020 ALCF Data Science Program (ADSP). The ADSP launched in 2016 in order to target “big data” science problems that require the power and advanced capabilities of leadership-class computing resources. The forward-looking allocation program is designed to explore and improve computational methods for enabling data-driven discoveries across scientific disciplines.

November 05, 2019
  • ATPESC 2019

Argonne training program prepares researchers for scientific computing in the exascale era

The Argonne Training Program on Extreme-Scale Computing (ATPESC), now in its seventh year, plays an important role in growing the community of researchers who can use supercomputers to tackle complex problems in science and engineering. The annual training event, which was held at the Q Center in St. Charles, Illinois, this summer, has now hosted nearly 500 participants since its inception.

October 16, 2019
  • ATLAS image

AI technique does double duty spanning cosmic and subatomic scales

While high energy physics and cosmology seem worlds apart in terms of sheer scale, Argonne scientists are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.

October 03, 2019
  • Argonne's Rick Stevens

Artificial Intelligence: Transforming science, improving lives

Leveraging Argonne’s broad capabilities and world-class facilities, the laboratory is exploring and expanding new AI techniques to drive discovery and innovation.

September 30, 2019
  • Argonne researchers Alexsandr Obabko and Emily Shemon

Argonne harnesses virtual power to address the most complex challenges in nuclear science

Argonne researchers are running a broad suite of computational codes on ALCF supercomputers to model and analyze next-generation nuclear reactor designs.

September 16, 2019
  • Data Science for Discovery in Chemical and Materials Sciences

DOE announces funding for Argonne projects on better materials and chemistry through data science

The U.S. Department of Energy (DOE) Office of Science 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.

September 13, 2019
  • Neuromorphic chip team

Argonne explores how ants, bees, and fruit flies can be the next big buzz in artificial intelligence

An Argonne research team used Theta as part of an effort to design and simulate a new neuromorphic chip inspired by the brain structure of insects.

September 12, 2019

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