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"Optimizing Sample Delivery in RF-Charging Multi-Hop IoT Networks" by Muchen Jiang and Kwan Wu Chin

This paper studies sample delivery in a multi-hop network where a power beacon charges devices via radio frequency (RF) signals. Devices forward samples with a deadline from a source to a sink. The goal is to minimize the power beacon’s transmit power and guarantee that samples arrive at the sink with probability (1-) by their deadline, where is a given probability of failure. A key challenge is that the power beacon does not have instantaneous channel gains information to devices and also bet...
Probabilistic Optimal Power Allocation Bayesian Optimization Array Signal Processing Energy Transfer Imperfect Knowledge Nternet Of Things
Source: uow.edu.au

Taking a magnifying glass to data center operations

The MIT Lincoln Laboratory Supercomputing Center has released a dataset containing more than a million jobs run on its TX-GAIA supercomputer, with the goal of using this data to feed AI research into optimizing data center resources. The team has kicked off the MIT Datacenter Challenge to mobilize this research.
United States Baolin Li Vijay Gadepally Neil Thompson Siddharth Samsi Us Department Of Defense
Source: mit.edu

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Chemistry and computer science join forces to apply artificial intelligence to chemical reactions

Date Time Chemistry and computer science join forces to apply artificial intelligence to chemical reactions In the past few years, researchers have turned increasingly to data science techniques to aid problem-solving in organic synthesis. Researchers in the lab of Abigail Doyle, Princeton’s A. Barton Hepburn Professor of Chemistry, have developed open-source software that provides them with a state-of-the-art optimization algorithm to use in everyday work, folding what’s been learned in th...
Ryanp Adams A Barton Hepburn Jacobm Janey Bristol Myers Squibb Jason Stevens Bryan Adams

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