Chrome extensions: Finding the missing proof
Web browsers have supported custom plug-ins and extensions since the 1990s, giving users the ability to add their own features and tools for improving workflow...
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Watch all of Jane Street's tech talks
Jane Street has been posting tech talks from internal speakers and invited guests for years—and they’re all available on our YouTube channel:
By: James Somers
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Troubleshooting systemd with SystemTap
When we set up a schedule on a computer, such as a list of commands to run every day at particular times via Linux cron...
By: Mark R. Bannister
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Using Python and OCaml in the same Jupyter notebook
The cover image is based on Jupiter family by NASA/JPL.
By: Laurent Mazare
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Deep-Learning the Hardest Go Problem in the World
Updates and a New Run
By: David Wu
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Commas in big numbers everywhere: An OpenType adventure
My job involves a lot of staring at large numbers, mostly latencies in nanoseconds, and picking out magnitudes like microseconds. I noticed myself constantly counting...
By: Tristan Hume
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What the interns have wrought, 2019 edition
Jane Street’s intern program yet again is coming to an end, which is a nice opportunity to look back over the summer and see what...
By: Yaron Minsky
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Using OCaml to drive a Raspberry Pi robot car
Back when the Raspberry Pi was first released in 2012 Michael Bacarella wrote a blog post on using OCaml and Async on this little device....
By: Laurent Mazare
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Do applied programming languages research at Jane Street!
As our Tools & Compilers team has grown, the kinds of projects we work on has become more ambitious. Here are some of the major...
By: Leo White
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A look at OCaml 4.08
Now that OCaml 4.08 has been released, let’s have a look at what was accomplished, with a particular focus on how our plans for 4.08...
By: Leo White
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Of Pythons and Camels
Welcome to another post in our series of how to use OCaml for machine learning. In previous posts we’ve discussed artistic style-transfer and reinforcement learning....
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Thoughts from AAAI 2019
At Jane Street, for the last several years, we have been increasingly interested in machine learning and its many use cases. This is why it...
By: Loren Puchalla Fiore
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Learning ML Depth-First
If you haven’t heard of it, Depth First Learning is a wonderful resource for learning about machine learning.
By: James Somers
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Machining the ultimate hackathon prize
Jane Street is sponsoring this year’s MakeMIT hackathon, and we wanted to create a prize for the winners that would do justice to the maker...
By: James Somers
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Accelerating Self-Play Learning in Go
At Jane Street, over the last few years, we’ve been increasingly exploring machine learning to improve our models. Many of us are fascinated by the...
By: David Wu
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Playing Atari Games with OCaml and Deep Reinforcement Learning
In a previous blog post we detailed how we used OCaml to reproduce some classical deep-learning results that would usually be implemented in Python. Here...
By: Laurent Mazare
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L2 Regularization and Batch Norm
This blog post is about an interesting detail about machine learning that I came across as a researcher at Jane Street - that of the...
By: David Wu
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A tutorial for building web applications with Incr_dom
At Jane Street, our web UIs are built on top of an in-house framework called Incr_dom, modeled in part on React’s virtual DOM. Rendering different...
By: James Somers
