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Solving computationally complex problems with probabilistic computing

Researchers demonstrate probabilistic computing's capabilities by simulating networks of stochastic nanodevices to solve specific NP problems. The simulations agree with theoretical solutions, indicating the potential for scaling up this approach.

SourceSPIE--International Society for Optics and Photonics·JournalJournal of Photonics for Energy·DateApr 28, 2023

Optoelectronic interface for stimulating neural networks in the brain

Researchers have developed an optoelectronic interface that uses fiber-optic channels to transmit signals from artificial neurons to live ones, providing galvanic isolation and adaptive stimulation capabilities. This system has been demonstrated effective in stimulating electrophysiological activity of neurons in a surviving section of...

SourceLobachevsky University·DateOct 22, 2018

Using stolen computer processing cycles to mine Bitcoin

A team of researchers at the University of California - San Diego examined over 2,000 pieces of malware used by Bitcoin mining operations and found that they made at least 4,500 Bitcoins over two years. The study highlights how malware operators use low-cost and no-investment infrastructure to mine Bitcoin.

SourceUniversity of California - San Diego·DateFeb 25, 2014
AmScope B120C-5M Compound Microscope

AmScope B120C-5M Compound Microscope supports teaching labs and QA checks with LED illumination, mechanical stage, and included 5MP camera.

Genomic data are growing, but what do we really know?

A large-scale evaluation of computational protein function prediction reveals that algorithms combining disparate prediction clues provide more accurate predictions, turning genomic data into useful information. The study provides a comprehensive picture of how well current methods perform, with potential improvements identified.

SourceMiami University·JournalNature Methods·DateMar 20, 2013