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Credit:  A rendering of an artificial neural network with a computer chip in the center;  mikemacmarketing (original); Liam Huang (cropped)

New AI neural network will do tons of work for scientific researches

A research team at Lehigh University, funded by the U.S. National Science Foundation, developed and effectively taught an artificial neural network to sense symmetry and structural similarities in materials and to create similarity projections. The researchers published their findings in the journal npj Computational Materials.

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AI systems might reach higher performance if programmed with human language

The digital revolution is built on a foundation of binaries, invisible 1s and 0s called bits. The notion that computers prefer to "speak" in binary numbers is rarely questioned. According to new research from Columbia Engineering, that could be about to change.

A new U.S. National Science Foundation-funded study by mechanical engineer Hod Lipson and researcher Boyuan Chen proves that artificial intelligence systems might reach higher levels of performance if they are programmed with sound files of human language rather than with numerical data labels.