artificial intelligence tagged posts

New Software based on Artificial Intelligence helps to Interpret Complex Data

Scientific Reports (2022): Unsupervised realworld knowledge extraction via disentangled variational autoencoders for photon diagnostics
Gregor Hartmann, Gesa Goetzke, Stefan Düsterer, Peter FeuerForson, Fabiano Lever, David Meier, Felix Möller, Luis Vera Ramirez, Markus Guehr, Kai Tiedtke, Jens Viefhaus & Markus Braune
DOI: 10.1038/s41598-022-25249-4

Experimental data is often not only highly dimensional, but also noisy and full of artefacts. This makes it difficult to interpret the data. Now a team at HZB has designed software that uses self-learning neural networks to compress the data in a smart way and reconstruct a low-noise version in the next step. This enables to recognise correlations that would otherwise not be discernible...

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Designing and Programming Living Computers

Conceptual illustration: bacterial cells as artificial neural circuits

Transforming bacterial cells into living artificial neural circuits; applications include biomanufacturing and therapeutics. Bringing together concepts from electrical engineering and bioengineering tools, Technion and MIT scientists collaborated to produce cells engineered to compute sophisticated functions – “biocomputers” of sorts. Graduate students and researchers from Technion – Israel Institute of Technology Professor Ramez Daniel’s Laboratory for Synthetic Biology & Bioelectronics worked together with Professor Ron Weiss from the Massachusetts Institute of Technology to create genetic “devices” designed to perform computations like artificial neural circuits...

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Artificial Intelligence Reduces a 100,000-equation Quantum Physics problem to only Four Equations

A visualization of a mathematical apparatus used to capture the physics and behavior of electrons moving on a lattice. Each pixel represents a single interaction between two electrons. Until now, accurately capturing the system required around 100,000 equations — one for each pixel. Using machine learning, scientists reduced the problem to just four equations. That means a similar visualization for the compressed version would need just four pixels. Domenico Di Sante/Flatiron Institute

Researchers trained a machine learning tool to capture the physics of electrons moving on a lattice using far fewer equations than would typically be required, all without sacrificing accuracy.

Using artificial intelligence, physicists have compressed a daunting quantum problem that until now requir...

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Unraveling the Mysteries of the Night Sky with AI

Unraveling the mysteries of the night sky with AI
Stitched raw video material of the camera arrangement of the AllSky7 system using an observation at the Sonneberg station. The source data are available online [cp. AllSky7 Fireball Network Germany (2020)]. Credit: Monthly Notices of the Royal Astronomical Society (2022). DOI: 10.1093/mnras/stac1948

Technische Universität Ilmenau (Germany) is using artificial intelligence to improve the detection and classification of unidentified phenomena in the night sky. The research team of the group for data-intensive systems and visualization collaborated with the American Meteor Society, which initiated the AllSky7, an international network of scientists and amateur astronomers that permanently observes the night sky with specially designed cameras and classifies and assigns all events...

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