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New tools are available to help reduce the energy that AI models devour

MIT Lincoln Laboratory's Supercomputing Center has developed tools to reduce data center energy use by power-capping hardware and by improving the efficiency with which models are trained in some cases, their techniques reduce energy use by 80%. ....

Google Deepmind , Vijay Gadepally , Devesh Tiwari , Siddharth Samsi , Us Air , Northeastern University , Lincoln Laboratory Supercomputing Center , Baolin Li At Northeastern University , Laboratory Supercomputing Center , Professor Devesh Tiwari , High Performance Parallel , Mit Lincoln Laboratory , Lincoln Laboratory Supercomputing Center , Data Center Efficiency , Nergy Aware Computing , Green Computing , Vijay Gadepally , Siddharth Samsi , Tapping Power , Hyperparameter Optimization , Model Inference ,

The vaginal microbiome through the lens of systems biology

A new paper recently published online in Trends in Microbiology journal reviews the systems biology approach to explore the vaginal microbiome (VMB), helping to understand its composition and function and the mechanisms by which it interacts with the host. ....

Lab Diagnostics Automation , Lab Diagnostics Automation Industry , Automation Industry Focus , Model Based Integration , Metabolite Observations , Species Abundances , Data Integration Analysis , Biomarker Discovery , Generalized Lotka , Biomass Estimation , Model Inference , Expectation Maximization , Vaginal Microbiome , Bacterial Vaginosis , Inflammatory Disease , Machine Learning ,