Where NOMARS Has Gone Before

02.20.2020 - By AI with AI

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Andy and Dave discuss the President’s 2021 Budget Request, which increases funding for AI but decreases funding to science in general. Google releases Jigsaw, a tool to spot faked and doctored images, but not for the public. DARPA announces its NOMARS program, a No Manning Required Ship. Google creates an ML “fairness gym” to let researchers explore the long-term paths of AI’s decisions. The U.S. Army introduces Aided-Threat Recognition from Mobile Cooperative and Autonomous Sensors (ATR-MCAS), to assist soldiers in using suites of sensors on the battlefield. The Army also issues an RFI for a Sense-Through-the-Wall System. In research, Facebook AI demonstrates the ability to use ‘radioactive data’ to detect if a data set was used for training a particular classifier. PlosOne and the University of Liege in Belgium graft a neuromodulation capability onto deep neural networks as a way to learn adaptive behaviors. Marek Rei has collected a database of ML and NLP publication statistics with an interactive interface. MIT’s Lincoln Lab disseminates AI: A Short History, Present Developments, and Future Outlook (originally published but only internally disseminated a year ago). An Introduction to Machine Learning Interpretability by Hall and colleagues is the book of the week. Mary “Missy” Cummings pens a thought piece on rethinking the maturity of AI in safety-critical settings. The 34th AAAI publishes a video of the winners of the ACM 2018 Turing Award: LeCun, Hinton, and Bengio. And Denis Shiryaev uses a variety of techniques to upscale and colorize an 1896 short film to 4k and 60 frames per second. Click here to visit our website and explore the links mentioned in the episode. 

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