neural network tagged posts

It takes more than a galaxy merger to make a black hole grow and new stars form: machine learning shows cold gas is needed too to initiate rapid growth — new research finds.

When they are active, supermassive black holes play a crucial role in the way galaxies evolve. Until now, growth was thought to be triggered by the violent collision of two galaxies followed by their merger, however new research led by the University of Bath suggests galaxy mergers alone are not enough to fuel a black hole — a reservoir of cold gas at the centre the host galaxy is needed too.

The new study, published this week in the journal Monthly Notices of the Royal Astronomical Society is believed to be the first to use machine learnin...

For the first time TU Graz’s Institute of Theoretical Computer Science and Intel Labs demonstrated experimentally that a large neural network can process sequences such as sentences while consuming 4X – 16X less energy while running on neuromorphic hardware than non-neuromorphic hardware. The new research based on Intel Labs’ Loihi neuromorphic research chip that draws on insights from neuroscience to create chips that function similar to those in the biological brain.

The research was funded by The Human Brain Project (HBP), one of the largest research projects in the world with more than 500 scientists and engineers across Europe studying the human bra...

Research on novel nanoelectronics devices has enabled brain neurons and artificial neurons to communicate with each other over the Internet. Brain functions are made possible by circuits of spiking neurons, connected together by microscopic, but highly complex links called synapses. In this new study, published in the scientific journal Nature Scientific Reports, the scientists created a hybrid neural network where biological and artificial neurons in different parts of the world were able to communicate with each other over the internet through a hub of artificial synapses made using cutting-edge nanotechnology. This is the first time the three components have come together in a unified network.

During the study, researchers based at the University of Padova in Italy cultivate...

This schematic of a neural network shows the assignment of rotational spectra (red bars at left) by an algorithm (center) to identify the structure of a molecule in the gas phase (right). (Image by Argonne National Laboratory.)

Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have begun to use neural networks to identify the structural signatures of molecular gases, potentially providing new and more accurate sensing techniques for researchers, the defense industry and drug manufacturers.

This breakthrough work has been recognized as a finalist for a 2018 R&D 100 award. R&D 100 awards, called the “Oscars of Innovation,” are given out by R&D Magazine to the most significant innovations developed in a given year.

Neural networks – so named because they operate ...