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Guest lecturer speaks on neuroscience – The Brandeis Hoot

Guest lecturer speaks on neuroscience – The Brandeis Hoot
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United statesJohn lockeJohn lismanStephen van hooserSusan feigenbaumJay peposeDoris tsaoGenerative adversarial networkNational institutes of healthColumbia universityUniversity of california berkeleyCalifornia berkeleyNational institutesPioneer awardAlden spencer awardAdversarial network

Master Faces That Can Bypass Over 40% Of Facial ID Authentication Systems

Master Faces That Can Bypass Over 40% Of Facial ID Authentication Systems
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Tel avivBlavatnik school of computer scienceUniversity of sienaUniversity of massachusett labeledStylegan generative adversarial networkAdversarial networkBlavatnik schoolComputer scienceElectrical engineeringMassachusett labeled facesCoverage searchMean set coverageSuccess predictorLimited memory matrix adaptationResearch groupMachine learning

Scientists develop AI that can learn which faces you find attractive directly from your brain waves

Volunteers looked at artificially generated faces while wearing a brain monitor Researchers created an AI to read this brain data and understand the patterns It was then able to automatically generate artificially produced human faces These faces were tailed to the non-verbal preferences of the volunteers based on the data coming from their brain waves as they looked at human faces

Eteläuomen läiMichiel spapTuukka ruotsaloGenerative adversarial networkUniversity of helsinkiAdversarial neural networksDocent michiel spapAdversarial networkபல்கலைக்கழகம் ஆஃப் ஹெல்சின்கி

VISIMO Awarded Air Force STTR for Landscape Image Generation

VISIMO Awarded Air Force STTR for Landscape Image Generation News provided by Share this article Share this article PITTSBURGH, March 2, 2021 /PRNewswire/ VISIMO has won an Air Force Phase I Small Business Technology Transfer (STTR) award to conduct research on the synthetic generation of landscape training data. Work will be conducted in partnership with Colorado State University (CSU), and will play a vital role in advancing technologies reliant on vast quantities of landscape imagery such as flight simulators, unmanned aerial vehicles (UAVs), and even video games. The goal of the project, Generative Adversarial Network (GAN) for Synthetic Data Generation, is to use artificial intelligence (AI) and machine learning (ML) to create synthetic landscape images and 3D environments. The technology will be trained on real-world images, and then produce original images that look real. This unlimited supply of landscape data can be used to train ML models, and significantly reduc

United statesAlexander heitDino mintasSteve simskeJames juliusPartnership strategyColorado state universityGenerative adversarial networkSoftware developmentPhasei small business technology transferUnited states air forceAdversarial networkSynthetic data generationData scienceAir forceSystems engineering

VISIMO Awarded Air Force STTR for Landscape Image Generation

VISIMO Awarded Air Force STTR for Landscape Image Generation
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United statesAlexander heitDino mintasSteve simskeJames juliusPartnership strategyColorado state universityGenerative adversarial networkSoftware developmentPhasei small business technology transferUnited states air forceAdversarial networkSynthetic data generationData scienceAir forceSystems engineering