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Benchmarking Building Control Systems Thanks to Calibrated Models Sponsored by CSEMJan 19 2021 Buildings play an important role in total energy consumption and worldwide greenhouse gas (GHG) emissions. Smart control strategies are key technological enablers for reducing the GHG footprints of buildings. 3,4 but their simple nature, combined with possible tuning errors, can lead to sub-optimal control behavior. 5 Automatized, efficient building control can significantly reduce energy consumption and emissions. Research has been done into model predictive control (MPC), 6,7,8,9 a...

Supporting Responsible Use Of AI And Equitable Outcomes In Financial Services – Federal Reserve Governor Lael Brainard At The AI Academic Symposium Hosted By The Board Of Governors Of The Federal Reserve System, Washington, D.C. (Virtual Event) Date 12/01/2021 Today's symposium on the use of artificial intelligence (AI) in financial services is part of the Federal Reserve's broader effort to understand AI's application to financial services, assess methods for managing risks arising from this technology, and determine where banking regulators can support responsible use of AI and eq...

Incremental Risk Minimization Algorithm Incremental Regression with Polynomials ↑ Incremental (or on-line) learning regression is the process of adapting a model one example at a time without accumulating a batch of data. It has the advantages of allowing continuous adaptation to non-stationary environments, easily handling big data through stream processing, and a fixed low computation and memory demand. The easiest solution is to perform a gradient descent on a squared error metric with each new training example. But this solution does not work well for complex model struc...

MIT and Penn State join forces with AWS to help classify images of flood disaster zones SHARE Researchers at MIT Lincoln Laboratory and students at the Penn State College of Information Sciences and Technology have been working on artificial intelligence computer models that uses disaster scene images to inform responders about flooding. For humans, this process is relatively easy, but when a dataset is made up of more than 100,000 areal images that vary in altitude, cloud cover, context and area and need to be processed in a matter of days or hours, computers become...