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‘machine learning’

How to fake a medical record in order to mitigate privacy risks

Nov. 4, 2019—In machine learning, generative adversarial networks (GANs) involve two artificial neural networks squaring off, one, the generator, trying to delude the other, the discriminator, into accepting synthetic data as real. Beyond their science and engineering applications, GANs can generate utterly convincing “photographs” of people who do not exist. Unrestricted use on a wide scale of...

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Vanderbilt team ready for live DARPA spectrum challenge championship in L.A.; Winner will get $2 million

Oct. 17, 2019—Top prize in round one in 2017, second place in round two in 2018, and a prediction to cinch one of the top three spots in the live championship round of the DARPA Spectrum Collaboration Challenge, Vanderbilt’s MarmotE team will be ready to match radios and wits with nine other finalists. Learn More MarmotE With...

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Design Day showcases Mars habitat, interstate cap, dozens of innovations

Apr. 25, 2019—Design Day 2019 took students and visitors to Mars, a diving depth of 300 feet and a potential green oasis above a stretch of Interstate 65. Other projects included a robotic device for a young boy born with a partial right hand, an easily customized ultrasound brain helmet, an affordable 3D-printed canine prosthetic, advanced lab...

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EE graduate student takes top prize in Three Minute Thesis competition

Apr. 8, 2019—An electrical engineering graduate student took the top prize is this year’s Three Minute Thesis (3MT) competition with a presentation on designing fault-tolerant control systems using data-driven methods. Without really saying it that way. Ibrahim Ahmed presented “Comfort and cost: A balancing act,” which centered on his research to find the critical temperature at which air...

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Vanderbilt team wins $750K with AI to manage RF spectrum

Jan. 29, 2019—Vanderbilt team MarmotE cleared Phase 2 of the U.S. Defense Advanced Research Projects Agency’s Spectrum Collaboration Challenge held in December at the Johns Hopkins University Applied Physics Lab. With no real estate left to expand the radio spectrum, DARPA’s challenge seeks machine-learning algorithms to sort out frequency priorities based on urgency – emergency and critical...

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VISE hosts annual symposium Dec. 12 as new space opens for collaboration

Dec. 4, 2018—The Vanderbilt Institute for Surgery and Engineering hosts it 7th Annual Symposium Dec. 12 with invited speakers from Memorial Sloan Kettering Cancer Center, Worcester Polytechnic Institute, Johns Hopkins University and the Chinese Academy of Sciences. The 2018 Surgery, Intervention, and Engineering Symposium opens with lunch and a poster session at noon in the Light Hall...

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MASI Lab and EnvoyAI to develop abdominal segmentation algorithms

Jan. 10, 2018—The MASI lab is collaborating on the development of deep learning algorithms for abdomen segmentation that leverage artificial intelligence to better understand and diagnose disease. The MASI lab, affiliated with the Vanderbilt Institute for Surgery and Engineering, is working with a team from EnvoyAI, which aims to simplify access to new AI algorithms by providing direct access to...

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NSF Convergence grant to improve insight, data on learner-technology interaction

Sep. 13, 2017—Learning is layered, with cognitive, physiological, emotional and societal components. Technology, especially the increasing use of new sensing devices and interactive machines, adds complexity as well as opportunity – yet little research has been done on how best to measure what works. A collaboration between Vanderbilt School of Engineering and North Carolina State University aims...

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