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Dark matter is a hypothetical invisible mass, which is responsible for the force of gravity among galaxies and other celestial bodies. Although researchers don’t have any concrete information about this puzzling entity, they did come up with a number of intriguing theories about this enigmatic mass. Following is a list of 5 dark matter theories that are quite interesting.

WIMPs are hypothetical particles that are thought to constitute dark matter. These heavy, electromagnetically neutral subatomic particles are hypothesized to make up 22% of the entire universe. They are thought to be heavy and slow-moving because if the dark matter particles were light and fast, they would not have clumped together in the density fluctuations from which galaxies and clusters of galaxies are formed. The precise nature of these particles is currently unknown and they do not abide by the laws of the Standard Model of Particle Physics.

Axions are believed to be neutral, slow-moving particles that are a billion times lighter than electrons. They rarely interact with light and this behavior has urged scientists to believe that Axion could be a building block of the dark matter. An attempt to detect these particles was made in April 2018 by the physicists from the University of Washington. The main idea of this theory suggests that if axions are constantly dashing towards Earth, powerful magnets may be able to convert some of the axions into microwave photons, which are easier to detect. Their work is commonly known as the Axion Dark Matter Experiment (ADMX) and this theory has not enjoyed much success, since then.

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A new photonic chip could run optical neural networks 10 million times more efficiently than conventional chips.

The classical physical limit for computing energy is the Landauer limit that sets a lower bound to the minimum heat dissipated per bit erasing operation. Performance below the thermodynamic (Landauer) limit for digital irreversible computation is theoretically possible in this device. The proposed accelerator can implement both fully connected and convolutional networks.

Previous photonic chips had bulky optical components that limited their use to relatively small neural networks. MIT researchers have a new photonic accelerator that uses more compact optical components and optical signal-processing techniques, to drastically reduce both power consumption and chip area. That allows the chip to scale to neural networks several orders of magnitude larger than its counterparts.

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A volcano in the far eastern end of Russia that was previously considered to be extinct has awakened, and scientists are now warning of a possible catastrophic eruption.

The Bolshaya Udina volcano — part of the Kamchatka Peninsula’s Udina volcanic complex — was believed to be extinct until 2017, when scientists detected increasing seismic activity beneath it, CNN reported.

Ivan Koulakov, a geophysicist from Russia’s A.A. Trofimuk Institute of Petroleum Geology and Geophysics who led a study into the volcano, told CNN he believes Bolshaya Udina should now be reclassified as active.

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