Argonne National Laboratory

Science Highlights

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Machine learning methods used to develop data transfer performance models

A team of researchers at Argonne National Laboratory have now applied machine learning methods to develop new data transfer performance models using only historical data.

June 14, 2017
Argonne, Northwestern research paper highlighted as editors' pick

Researchers from Argonne National Laboratory and Northwestern University have received an “Editors' Pick” award for their paper "Joint reconstruction of x-ray fluorescence and transmission tomography" in Optics Express for June 2017.

June 9, 2017
Entanglements

Researchers are studying ways to produce entanglement in hybrid systems composed of plasmonic nanostructures and quantum dots.

May 30, 2017
Balaprakash speaks at SAE World Congress Experience on Artificial Intelligence for Transportation and Mobility

Argonne National Laboratory researcher Prasanna Balaprakash presented an invited Tech Hub talk at the WCX17: SAE World Congress Exposition on April 5, 2017, in Detroit.

May 2, 2017
McInnes recognized as SIAM Fellow

Lois Curfman McInnes has been named Fellow of the Society for Industrial and Applied Mathematics (SIAM).

April 25, 2017
MCS researchers to play major role in Machine Learning workshop

Four MCS Division researchers from Argonne’s Mathematics and Computer Science Division will give presentations at the Machine Learning at Argonne National Laboratory workshop March 14-15, 2017.

March 7, 2017
MCS researchers to play major role in Machine Learning workshop

Four MCS Division researchers from Argonne’s Mathematics and Computer Science Division will give presentations at the Machine Learning at Argonne National Laboratory workshop March 14-15, 2017.

February 27, 2017
Overcoming the Power Wall

Researchers at Argonne National Laboratory, Rice University, and the École Polytechnique Fédérale de Lausanne developed a model capable of measuring the energy gains with all three IEEE-compliant precisions on COTS processors – double, single, and half.

February 24, 2017
Rescuing the Stranded!

Researchers at Argonne National Laboratory, the University of Chicago, the University of Wisconsin – Madison are focusing on a particular type of dispatchable load: intermittent, or cloud-based, computing resources. Such resources can be turned on or shut down according to stranded power availability

January 24, 2017
New environmental testbed uses Waggle sensor nodes

Researchers from Argonne National Laboratory and Northwestern University are collaborating on a project to instrument, monitor, and model ecosystem services provided by the Indian Boundary Prairies (IBP) in Markham, Illinois.

January 4, 2017