Found 5909 bookmarks
Newest
Email explained from first principles
Email explained from first principles
Modern email is a patchwork of protocols and extensions. Here is one article to understand them all.
·explained-from-first-principles.com·
Email explained from first principles
IBM Design
IBM Design
At IBM, our design philosophy is to help guide people so they can do their best work. Our human-centered design practices help us deliver on that goal.
·ibm.com·
IBM Design
DXOMARK sur Twitter
DXOMARK sur Twitter
“It's #InternationalBatteryDay! 🔋 In a poll this week, we asked if you knew what #smartphone app drains your battery the most. The correct response: the camera app at 960 mA, and nearly all major internal components of the device from preview to the post-processing are used! 📱”
·twitter.com·
DXOMARK sur Twitter
Let’s Architect! Architecting for sustainability | Amazon Web Services
Let’s Architect! Architecting for sustainability | Amazon Web Services
Sustainability is an important topic in the tech industry, as well as society as a whole, and defined as the ability to continue to perform a process or function over an extended period of time without depletion of natural resources or the environment. One of the key elements to designing a sustainable workload is software […]
·aws.amazon.com·
Let’s Architect! Architecting for sustainability | Amazon Web Services
(1) How a Hackathon Is Slowly Changing The World | LinkedIn
(1) How a Hackathon Is Slowly Changing The World | LinkedIn
Behind many corporate sustainability announcements is a grassroots story of a few employees who were convinced of the opportunity to make a positive impact on both the climate and their business. What started out as a hackathon project three years ago to demonstrate the potential of carbon aware com
·linkedin.com·
(1) How a Hackathon Is Slowly Changing The World | LinkedIn
Website Sustainability
Website Sustainability
The web is a major source of carbon emissions. This site provides independent research to help web developers make their products more sustainable.
·websitesustainability.com·
Website Sustainability
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
The computation demand for machine learning (ML) has grown rapidly recently, which comes with a number of costs. Estimating the energy cost helps measure its environmental impact and finding greener strategies, yet it is challenging without detailed information. We calculate the energy use and carbon footprint of several recent large models-T5, Meena, GShard, Switch Transformer, and GPT-3-and refine earlier estimates for the neural architecture search that found Evolved Transformer. We highlight the following opportunities to improve energy efficiency and CO2 equivalent emissions (CO2e): Large but sparsely activated DNNs can consume 1/10th the energy of large, dense DNNs without sacrificing accuracy despite using as many or even more parameters. Geographic location matters for ML workload scheduling since the fraction of carbon-free energy and resulting CO2e vary ~5X-10X, even within the same country and the same organization. We are now optimizing where and when large models are trained. Specific datacenter infrastructure matters, as Cloud datacenters can be ~1.4-2X more energy efficient than typical datacenters, and the ML-oriented accelerators inside them can be ~2-5X more effective than off-the-shelf systems. Remarkably, the choice of DNN, datacenter, and processor can reduce the carbon footprint up to ~100-1000X. These large factors also make retroactive estimates of energy cost difficult. To avoid miscalculations, we believe ML papers requiring large computational resources should make energy consumption and CO2e explicit when practical. We are working to be more transparent about energy use and CO2e in our future research. To help reduce the carbon footprint of ML, we believe energy usage and CO2e should be a key metric in evaluating models, and we are collaborating with MLPerf developers to include energy usage during training and inference in this industry standard benchmark.
·arxiv.org·
Carbon Emissions and Large Neural Network Training
code.gouv.fr sur Twitter
code.gouv.fr sur Twitter
“Le conseil #LogicielsLibres, mis en place et animé par la mission logiciels libres de la @_DINUM à @Etalab, émet son premier avis en répondant positivement à cette question:”
·twitter.com·
code.gouv.fr sur Twitter
Green Software Practitioner
Green Software Practitioner
If you want to make your software applications more sustainable and build a career in green software, then this training is for you
·learn.greensoftware.foundation·
Green Software Practitioner