AI Algorithm tagged posts

Simulation Sheds Light on Earth’s Magnetic Field Generation while Advancing Neuromorphic Computing

New simulation method sharpens our view into the Earth’s interior—method could advance neuromorphic computing for AI
Structure of the Earth. Credit: B. Schröder/HZDR/NASA/Goddard Space Flight Center Scientific Visualization Studio

How does the Earth generate its magnetic field? While the basic mechanisms seem to be understood, many details remain unresolved. A team of researchers from the Center for Advanced Systems Understanding at the Helmholtz-Zentrum Dresden-Rossendorf, Sandia National Laboratories (U.S.) and the French Alternative Energies and Atomic Energy Commission has introduced a simulation method that promises new insights into the Earth’s core.

The method, presented in the Proceedings of the National Academy of Sciences, simulates not only the behavior of atoms, but also the magnetic properties of materials...

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Neuroscientists use AI to Simulate how the Brain makes Sense of the Visual World

brain ai
Credit: Pixabay/CC0 Public Domain

A research team at Stanford’s Wu Tsai Neurosciences Institute has made a major stride in using AI to replicate how the brain organizes sensory information to make sense of the world, opening up new frontiers for virtual neuroscience.

Watch the seconds tick by on a clock and, in visual regions of your brain, neighboring groups of angle-selective neurons will fire in sequence as the second hand sweeps around the clock face. These cells form beautiful “pinwheel” maps, with each segment representing a visual perception of a different angle. Other visual areas of the brain contain maps of more complex and abstract visual features, such as the distinction between images of familiar faces vs. places, which activate distinct neural “neighborhoods.”

Such ...

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AI Algorithm that Detects Brain Abnormalities could help Cure Epilepsy

epilepsy
Credit: Pixabay/CC0 Public Domain

An artificial intelligence (AI) algorithm that can detect subtle brain abnormalities that cause epileptic seizures has been developed by a UCL-led team of international researchers.

The Multicentre Epilepsy Lesion Detection project (MELD) used over 1,000 patient MRI scans from 22 global epilepsy centers to develop the algorithm, which provides reports of where abnormalities are in cases of drug-resistant focal cortical dysplasia (FCD)—a leading cause of epilepsy.

FCDs are areas of the brain that have developed abnormally and often cause drug-resistant epilepsy. The condition is typically treated with surgery, however identifying the lesions from an MRI is an ongoing challenge for clinicians, as MRI scans in FCDs can look normal.

To develop t...

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