Galaxy experts train electronic stand-ins

Article Abstract:

Artificial neural networks have been trained to classify galaxies by type as accurately as the few astronomers trained to make such classifications. Because the job of classification is tedious and time-consuming, the human classification experts welcome the electronic help.

Usage, Computer networks, Innovations, Neural networks, Galaxies, Identification and classification, Astronomical instruments

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How the U.S. companies measure up

Article Abstract:

The nature of US corporate boards often cause a lack of continuity between technology and overall corporate planning. European and Japanese firms have chief technology officers (CTO) who also serve on corporate boards. Many US firms have no such position.

Reports, Industrial research, Surveys, Massachusetts Institute of Technology

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How quixotic is SLAC's quest to detect "crazy particle"?

Article Abstract:

Physicists at SLAC are hoping to discover a millicharged subatomic particle that might provide clues to the dark matter in the universe. The shadow universe theory provides some support for the existence of millicharged particles.

Research, Particles (Nuclear physics), Subatomic particles, Stanford Linear Accelerator Center

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