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New method for comparing neural networks exposes how artificial intelligence works

DOE/Los Alamos National Laboratory
Reports and Proceedings

A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.

Through the quantum looking glass

DOE/Sandia National Laboratories
Peer-Reviewed Publication

An ultrathin invention could make future computing, sensing and encryption technologies remarkably smaller and more powerful by helping scientists control a strange but useful phenomenon of quantum mechanics, according to new research recently published in the journal Science.

Journal: Science

New research sheds light on when Mars may have had water

DOE/Los Alamos National Laboratory
Peer-Reviewed Publication

Scientists on NASA’s Perseverance mission made a surprising discovery about the composition of rock in Jezero Crater, one that will help them get a better idea of when water existed on Mars, and ultimately, help them understand if the red planet was ever habitable to microbial life.

Pipelines for progress

DOE/Sandia National Laboratories
Business Announcement

Sandia National Laboratories is sharpening its recruiting focus on select historically Black colleges and universities with its Securing Top Academic Research and Talent, or START, program.

Snow research fills gap in understanding Arctic climate

DOE/Los Alamos National Laboratory
Peer-Reviewed Publication

Comprehensive data from several seasons of field research in the Alaskan Arctic will address uncertainties in Earth-system and climate-change models about snow cover across the region and its impacts on water and the environment.

Journal: The Cryosphere
Funder: DOE/US Department of Energy

Quantum annealing can beat classical computing in limited cases

DOE/Los Alamos National Laboratory

Recent research proves that under certain conditions, quantum annealing computers can run algorithms—including the well-known Shor’s algorithm—more quickly than classical computers. In most cases, however, quantum annealing does not provide a speed-up compared to classical computing when time is limited, according to a study in Nature Communications.

Journal: Nature Communications
Funder: U.S. Department of Energy, Office of Science, Basic Energy Sciences, DOE/US Department of Energy

Back to the drawing board: Reinventing offshore wind turbines

DOE/Sandia National Laboratories

In order to design radically new idea offshore wind turbines, Sandia National Laboratories engineers first needed to build a design tool capable of modeling the physics vertical-axis wind turbine, or a new "drawing board."

Funder: DOE/US Department of Energy

Math error: A new study overturns 100-year-old understanding of color perception

DOE/Los Alamos National Laboratory

A new study corrects an important error in the 3D mathematical space developed by the Nobel Prize–winning physicist Erwin Schrödinger and others and used by scientists and industry for more than 100 years to describe how your eye distinguishes one color from another. The research has the potential to boost scientific data visualizations, improve TVs and recalibrate the textile and paint industries.

Journal: Proceedings of the National Academy of Sciences

“We’ve Got the Power”: Sandia technology test delivers electricity to the grid

DOE/Sandia National Laboratories

For the first time, Sandia National Laboratories researchers delivered electricity produced by a new power-generating system to the Sandia-Kirtland Air Force Base electrical grid.

Funder: DOE/US Department of Energy

Can an algorithm teach scientists to write better quantum computer programs?

DOE/Sandia National Laboratories
Grant and Award Announcement

A new research project, funded by an Department of Energy Early Career Research Program Award, will help quantum computer scientists write better programs that fail less often.

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