UTEP Researchers Improve Magnets for Computing
University of Texas at El PasoAs demand rises for increased data storage and faster-performing computers, researchers are creating a new generation of materials to meet consumers’ expectations.
As demand rises for increased data storage and faster-performing computers, researchers are creating a new generation of materials to meet consumers’ expectations.
Argonne National Laboratory to partner with minority-serving institutions to mentor students in artificial intelligence research as part of DOE’s effort to advance diversity in STEM.
With 3D inkjet printing systems, engineers can fabricate hybrid structures that have soft and rigid components, like robotic grippers that are strong enough to grasp heavy objects but soft enough to interact safely with humans.
The world’s total population is expected to reach 9.9 billion by 2050. This rapid increase in population is boosting the demand for agriculture to cater for the increased demand. Below are some of the latest research and features on agriculture and farming in the Agriculture channel on Newswise.
Now that ChatGPT has revealed connections in meaning that can emerge from the simple premise of predicting the next word, a team of researchers led by the University of Michigan aims to do the same for atoms strung together to build molecules.
Making room for the world’s first exascale supercomputer took some supersized renovations.Frontier’s 74 cabinets cover more than 7,300 square feet in the Oak Ridge Leadership Computing Facility’s data center located at the Department of Energy’s Oak Ridge National Laboratory. That’s a space roughly 1,700 square feet larger than that occupied by its high-speed predecessor Summit and more than three times the size of the average American home for a machine that runs on 30 million watts of electricity.
The team that built Frontier set out to break the exascale barrier, but the supercomputer’s record-breaking didn’t stop there.“The exascale number marks a major milestone itself, but it also marks the beginning of a new chapter in high-speed computing,” said Feiyi Wang, an Oak Ridge National Laboratory computer scientist who leads research into artificial intelligence and analytics.
Frontier still holds the title of world’s fastest supercomputer after new TOP500 lists came out in November 2022, June 2023, and this week, and OLCF engineers expect further tuning to coax even faster speeds from its processors.
Kevin Brown, a Walter Massey Fellow at Argonne National Laboratory, talks about the fellowship and his career focused on optimizing supercomputers.
Globus, the de facto standard platform for research IT, is pleased to announce the availability of multiple products and services for secure, reliable data management at scale.
Two teams that include scientists from U.S. Department of Energy’s (DOE) Argonne National Laboratory have been named finalists for the Association for Computing Machinery 2023 Gordon Bell Prize. Both teams conducted groundbreaking research with the use of high performance exascale computing tools, such as Frontier, a supercomputer at DOE’s Oak Ridge National Laboratory (ORNL).
Technology is edging closer and closer to the super-speed world of computing with artificial intelligence. But is the world equipped with the proper hardware to be able to handle the workload of new AI technological breakthroughs?
Researchers at the U.S. Department of Energy’s Argonne National Laboratory used supercomputing resources to develop a new dataset for estimating increased flood risk from climate change during the mid-21st century.
Optical tweezers manipulate tiny things like cells and nanoparticles using lasers. While they might sound like tractor beams from science fiction, the fact is their development garnered scientists a Nobel Prize in 2018.
Building efficient quantum neural networks is a promising direction for research at the intersection of quantum computing and machine learning.
A new way to simulate supernovae may help shed light on our cosmic origins
Conventional sensors usually lack the sensitivity needed for studies of quantum phenomena and other complex cases. One solution is to use superconducting sensors, but amplifying their signals is challenging. Researchers built on advances from quantum computing to add a special type of amplifiers, superconducting traveling-wave parametric amplifiers, to superconducting sensors. These amplifiers are almost noiseless and operate at relatively high temperatures.
Atoms of the metal ytterbium-171 may be the closest things in nature to perfect qubits. A recent study shows how to use them for repeated quantum measurements and qubit rotations, which may aid in the development of scalable quantum computing.
The annual Argonne Training Program on Extreme-Scale Computing equips attendees with the skills and knowledge needed to use the world’s most powerful supercomputers for scientific research.