A team of Argonne scientists has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
The U.S. Department of Energy has awarded $4.15 million to Argonne National Laboratory to support collaborations with industry aimed at commercializing promising energy technologies.
The Department of Energy expands its CyberForce® program and offers more ways for students to test their cybersecurity skills.
Researchers at Argonne have used artificial intelligence to dramatically reduce the time it takes to process data coming from the Laser Interferometer Gravitational-Wave Observatory.
Artificial intelligence is being called “the next generation of the way we do science.” At Argonne, researchers are leveraging the lab’s state-of-the-art-facilities and unparalleled expertise to shape the very future of science.
Many devices rely on rare earth elements. Disruptions to supplies have consequences. Argonne analyzed potential disruptions with a computer model called Global Critical Materials to forecast rare earth market dynamics.
The Department of Energy has awarded Argonne and partners $2 million to develop an artificial intelligence-assisted system for energy, nutrient and freshwater recovery from municipal wastewater.
University of Washington researchers worked with almost 260 people to understand online disagreements and to develop potential design interventions that could make these discussions more productive and centered around relationship-building.
The Department of Energy’s Argonne National Laboratory is proud to welcome five new FY21 Maria Goeppert Mayer Fellows to campus, each chosen for their incredible promise in their respective fields.
The Department of Energy pledged $1.68 million to Argonne National Laboratory over three years so it can create a virtual platform or digital twin that will allow experimentalists to explore their proposed studies prior to visiting the labs.
Dan Guido, an alumni of the NYU Tandon School of Engineering, is the sixth inductee into the CyberCorps: Scholarship for Service (SFS) Hall of Fame since inaugural class of honorees in 2018.
ATPESC provides in-depth training on using supercomputers, including next-generation exascale systems, to facilitate breakthrough science and engineering.
From YouTube to Netflix to Zoom, video compression technology is critical for streaming video applications to generate high-quality video. A novel, patent-pending video compression technology developed at FAU was recently acquired by Japanese industry giant Mitsubishi Electric Corporation. FAU’s research and development of enhanced video compression techniques are related to the new generation of video coding standard called “Versatile Video Coding” (VVC) or H. 266.
After a tough, day-long contest, Seth Manesse from Utah State University won the sixth CyberForce Competition.
Creating nanomaterials with flame spray pyrolysis is complex, but scientists at Argonne have discovered how applying artificial intelligence can lead to an easier process and better performance.
The 2020 CyberForce Competition will be hosting over 400 students attending U.S. accredited institutions. Students will compete to harden and defend simulated wind energy infrastructure from cyber-attacks, while maintaining service for their customers (played by volunteers). Competitors will be selected by random lottery.
Argonne scientists will attend the virtual SC20 conference to share research advances in areas ranging from exascale computing and big data analysis to AI and quantum computing.
In a first-time virtual contest, Argonne researchers will challenge hundreds of college students to defend simulated energy-sector infrastructure against cyberattacks.
University of Washington and Microsoft researchers have developed a DNA-based molecular tagging system.
UW researchers have developed SoundWatch, a smartwatch app for deaf, Deaf and hard-of-hearing people who want to be aware of nearby sounds.
The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.
University of Washington researchers have developed a tiny sensor that can ride aboard a small drone or an insect, such as a moth, until it gets to its destination. Then the sensor can fall up to 72 feet and land on the ground without breaking.
Scientists are preparing for the increased brightness and resolution of next-generation light sources with a computing technique that reduces the need for human calculations to reconstruct images.
Students attending the last 2020 Office of Science Summer Internship Virtual Lecture Series seminar learned about how national laboratories are coming together to fight COVID-19.
Researchers at the University of Washington have developed a tiny wireless steerable camera that can ride aboard an insect or an insect-sized robot.
Stay-at-home orders and social distancing have been successful in some areas to help flatten the coronavirus curve. As parts of the world begin to open up again, communities need a reliable way to keep track of the virus and contain…
Argonne National Laboratory’s Illinois Mathematics and Science Academy (IMSA) High School Internship Program has this year’s exceptionally bright high school students working on the Deep Underground Neutrino Experiment (DUNE)’s world-changing research.
UW researchers watched 25 participants scroll through their Facebook or Twitter feeds while, unbeknownst to them, a Google Chrome extension randomly added debunked content on top of some of the real posts.
UW researchers have created AuraRing, a ring and wristband combination that can detect the precise location of someone’s index finger and continuously track hand movements.
UW researchers have created Carpentry Compiler, a digital tool that allows users to design woodworking projects. Once a project is designed, the tool creates optimized fabrication instructions based on the materials and equipment a user has available.
In two new papers, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have turned to the power of machine learning and artificial intelligence to dramatically accelerate battery discovery.
Can we trust artificial intelligence to make good decisions? The answer is a resounding maybe. More and more, society and individuals are entrusting AI to make potentially life-changing decisions. Rather than putting blind trust in the judgment of these remarkable systems, Oregon State University computer scientist Alan Fern and a team of computer scientists want to reveal their reasoning processes.
Going on its fourth year, DOE’s CyberForce Competition™ on Nov. 15-16 will give teams of cybersecurity students and professionals the opportunity to compete and refine their skills in real-time at 10 national laboratories across the U.S.
University of Washington researchers have found that the third-party genealogy site GEDmatch is vulnerable to multiple kinds of security risks.
The recent InnovationXLab℠ Summit on AI raised the profile of the national laboratories’ work in AI and forged new partnerships between industry and the national labs.
While high-energy physics and cosmology seem worlds apart in terms of sheer scale, physicists and cosmologists at Argonne are using similar machine learning methods to address classification problems for both subatomic particles and galaxies.
The complexity of cities and the interrelationships of urban systems makes them ideal candidates for research using machine learning, which Argonne scientists are deploying to improve cities.