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GitHub Sponsors helps developers get paid for open source work

Nick DeJesus/GitHub
GitHub Sponsors lets stakeholders give money to developers of open source projects they depend on.
Hundreds of devs use it to make a full-time living and some even pull in six figure salaries.
A GitHub product exec told Insider the firm is planning a global expansion and testing new models.
Although open source software powers some of the world s most well-known technologies, even the most popular projects are often maintained by developers who volunteer their time and effort. Microsoft-owned GitHub is trying to change that through a program that helps those open source developers get paid for their work. ....

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How To Use Social Media To Help Boost Your Chances of Getting a Job

How To Use Social Media To Help Boost Your Chances of Getting a Job
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Coding between vines

Date Time
Coding between vines
EMBL Teen reinforces the value of allyship in STEM as she develops app to identify grapevine diseases
A member of the EMBL Teen community, Maria-Theresa Licka, has created a news-making app that helps winemakers identify early stages of disease on their vines. Credit: Ivo Licka
A member of the EMBL Teen community has made identifying leaf diseases on grapevines as easy as taking a picture with a smartphone, and it’s why she’s making news.
Now Maria-Theresa Licka’s work with teen collaborator Mario Schweikert has them looking forward to March, when they’ll present their app at the Bosch Center for Artificial Intelligence virtual AI Conference 2021. The two of them won the jury prize in Germany’s national artificial intelligence competition for pupils last November, which was an improvement over the previous year when they did not qualify for the final round. ....

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Deep Learning Trains Buildings to Optimize Efficiency

Date Time
Deep Learning Trains Buildings to Optimize Efficiency
In the United States, residential and commercial buildings account for nearly 40 percent of all energy consumption. About 40 percent of that energy use is from heating, ventilation, and air-conditioning (HVAC) systems.
An emerging efficiency method for buildings called model predictive control (MPC) could reduce HVAC energy use by up to 50 percent without impacting occupant comfort. But the method has been hampered by high costs associated primarily with software and computing.
Now, a team of scientists at Pacific Northwest National Laboratory (PNNL) has developed a new deep learning approach that uses building data and physics knowledge to train the MPC. The learning approach allows nonexperts to optimize control of a building’s energy systems without the need for additional computing power and proprietary software. ....

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To increase developer's income, GitHub hikes pay, cuts transaction fee

GitHub is increasing developer’s take-home pay for apps sold to 95 per cent from 75 ....

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