Tuning the Linux kernel with AI, according to ByteDance
Linux works well for most jobs, but to get it to work great requires kernel tuning, and that's never easy. ByteDance has a proposal to make this easier.
Source: zdnet.com
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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 between devices; i.e., it does not know the energy level of devices. To this end, we formulate a chance...
Source: uow.edu.au
How Autonomous Non-destructive Testing Can Change the Future Construction Scenery
Aug 24 2023 Reviewed by Megan Craig, M.Sc.
Source: azobuild.com
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.
Source: mit.edu