In this version of our open supply information roundup, we check out a machine studying software from Netflix, Microsoft’s election software program bug bounty, an economical microscope constructed with Raspberry Pi, and extra!
Netflix launch Polynote machine studying software
While there have been quite a few advances in machine studying over the past decade, it is nonetheless a troublesome, laborious, and typically irritating job. To assist make that job simpler, Netflix has released a machine learning notebook environment known as Polynote as open supply.
Polynote allows “data scientists and AI researchers to integrate Netflix’s JVM-based machine learning framework with Python machine learning and visualization libraries”. What make Polynote distinctive is its reproducibility function, which “takes cells’ positions in the notebook into account before executing them, helping prevent bad practices that make notebooks difficult to rerun from the top.” It’s additionally fairly versatile—Polynote works with Apache Spark and helps languages like Python, Scala, and SQL.
You can seize Polynote off GitHub or study extra about it on the Polynote web site.
Microsoft declares bug bounty program for its election software program
Hoping that extra eyeballs on its code will make bugs shallow, Microsoft introduced a a bug bounty for its open supply ElectionGuard software program improvement package for voting machines. The objective of this system is to “uncover vulnerabilities and help bolster election security.”
The bounty is open to “security professionals, part-time hobbyists, and students.” Successful submissions, which should embrace proofs of idea demonstrating how bugs may compromise the safety of voters, are price as much as $15,000 (USD).
If you are interested by taking part, you will discover ElectionGuard’s code on GitHub, and skim extra concerning the bug bounty.
microscoPI: a microscope constructed on Raspberry Pi
It’s not a stretch to say that the Raspberry Pi is likely one of the most versatile platforms for hardware and software program hackers. Micropalaeontologist Martin Tetard noticed the potential of the tiny computer systems in his area of examine and create the microscoPI.
The microscoPI is a Raspberry Pi-assisted microscope that may “capture, process, and store images and image analysis results.” Using an previous adjustable microscope with a movable stage as a base, Tetard added a Raspberry Pi B, a Raspberry Pi digital camera module, and a small touchscreen to the system. The result’s a compact rig that is “completely portable and measuring less than 30 cm (12 inches) in height.” The whole setup value him €159 (about $177 USD).
Tetard has arrange a website for the microscoPI, the place you’ll be able to study extra about it.
In different information
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