[Lisa_seminaires] [Tea Talk] Viral Shah (Julia Computing) Fri September 14 2018 10:30 Z315

Michael Noukhovitch mnoukhov at gmail.com
Lun 10 Sep 12:04:45 EDT 2018


Sorry, forgot to add link to meet the speaker:
https://calendar.google.com/calendar/selfsched?sstoken=UVBVTVF0X25Nd09LfGRlZmF1bHR8ZWQ5MmNlYWMxODI4OWVkNmUzNGU3OTE4ZDExMGI0YTk

On Mon, Sep 10, 2018 at 11:06 AM Michael Noukhovitch <mnoukhov at gmail.com>
wrote:

> This week we have *Viral Shah * from * Julia Computing * giving a talk on *Fri September
> 14 2018* at *10:30* in room *Z315 (in Pavilion Claire McNicoll)*. It's
> not our usual room but it'll be a regular room for the next two months :)
>
> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
> Yes
> And you can sign up to meet the speaker here:
>
> if there's a tea talk, you should always GOTO it
> Michael
>
> *TITLE* On Machine Learning and Programming Languages
>
> *KEYWORDS *ML/DL infrastructure, Programming Languages
>
> *ABSTRACT*
> We ask, what might the ideal ML language of the future look like? Our
> thoughts are published in this blog post:
> https://julialang.org/blog/2017/12/ml&pl As programming languages (PL)
> people, we have watched with great interest as machine learning (ML) has
> exploded -- and with it, the complexity of ML models and the frameworks
> people are using to build them. State-of-the-art models are increasingly
> programs, with support for programming constructs like loops and recursion,
> and this brings out many interesting issues in the tools we use to
> create them -- that is, programming languages. While machine learning does
> not yet have a dedicated language, several efforts are effectively creating
> hidden new languages underneath a Python API (like TensorFlow) while others
> are reusing Python as a modeling language (like PyTorch). We'd like to ask
> -- are new ML-tailored languages required, and if so, why?  Now that Julia
> 1.0 is released, we will also discuss how Julia evolved to get where it is
> today, and how it might evolve to taking on some of the challenges posed
> by machine learning
>
> *BIO*
> Dr. Viral Shah is a co-creator of the Julia project and Co-founder and CEO
> of Julia Computing. He has had a long-term track record of building
> open-source software. Apart from Julia, he is also co-creator of
> Circuitscape, an open-source program which borrows algorithms from
> electronic circuit theory for ecological conservation. In the Government of
> India, he was an early member of the country’s national ID project -
> Aadhaar, where his work on re-architecting India’s social security systems
> led to a significant increase in social and financial inclusion, while
> simultaneously saving the exchequer over a billion dollars in slippage. The
> experiences of implementing technology at such scale for a billion people
> are collected in his book: Rebooting India. Viral has a Ph. D. from the
> University of California at Santa Barbara, in Computer Science.
>
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