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The Sandia National Laboratories, managed and operated by the Sandia Corporation (a wholly owned subsidiary of Lockheed Martin Corporation), are two major United States Department of Energy research and development national laboratories.

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None of these marine energy devices are commercially available—yet. With help from an updated data collection and processing tool, Americans could soon get clean energy from waves, tides, and river and ocean currents. Photo from the U.S. Department of Energy

Is marine energy finally here?

10 Views

2 months ago

Showing a neuromorphic advantage, both the IBM TrueNorth and Intel Loihi neuromorphic chips observed by Sandia National Laboratories researchers were significantly more energy efficient than conventional computing hardware. The graph shows Loihi can perform about 10 times more calculations per unit of energy than a conventional processor. Energy is the limiting factor — more chips can be inserted to run things in parallel, thus faster, but the same electric bill occurs whether it is one computer doing everything or 10,000 computers doing the work. Image courtesy of Sandia National Laboratories.

Neuromorphic computing can solve more complex problems than those posed by artificial intelligence with less energy use

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3 months ago

The way to build silicon-based quantum devices compatible with current semiconductor manufacturing technology

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4 months ago

Developing nanobody therapies that prevent or treat viral infection

9 Views

5 months ago

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The way to build silicon-based quantum devices compatible with current semiconductor manufacturing technology

18 Views

4 months ago

None of these marine energy devices are commercially available—yet. With help from an updated data collection and processing tool, Americans could soon get clean energy from waves, tides, and river and ocean currents. Photo from the U.S. Department of Energy

Is marine energy finally here?

10 Views

1 month ago

Developing nanobody therapies that prevent or treat viral infection

9 Views

5 months ago

Showing a neuromorphic advantage, both the IBM TrueNorth and Intel Loihi neuromorphic chips observed by Sandia National Laboratories researchers were significantly more energy efficient than conventional computing hardware. The graph shows Loihi can perform about 10 times more calculations per unit of energy than a conventional processor. Energy is the limiting factor — more chips can be inserted to run things in parallel, thus faster, but the same electric bill occurs whether it is one computer doing everything or 10,000 computers doing the work. Image courtesy of Sandia National Laboratories.

Neuromorphic computing can solve more complex problems than those posed by artificial intelligence with less energy use

8 Views

1 month ago

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