RAPIDSFire

RAPIDSFire

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RAPIDSFire episodes

  • Data Visualization at Scale with Allan Enemark and Bryan Van de Ven

    We sit down and talk with Allan Enemark, data viz lead for RAPIDS and Bryan Van de Ven, Senior Engineer and co-creator of Bokeh to talk about what GPUs are doing for the visualization of data sets across many different tools, and what the future holds for showing your audience what the data is saying. 


    Links to things discussed in the episode:

    Datashader
    Plotly
    HoloViz
    Bokeh
    Vis.gl
    JupyterCon Tutorial - check it out! 
    cuxfilter (pronounced "cu - crossfilter") - code on github

    Twitter accounts to follow to keep your finger on the pulse of the latest in data viz:

    https://twitter.com/DataVizSociety
    https://twitter.com/jonmmease
    https://twitter.com/AlbertoCairo
    https://twitter.com/visualisingdata
    https://twitter.com/Elijah_Meeks
    https://twitter.com/viegasf
    https://twitter.com/giorgialupi
    https://twitter.com/flowingdata
    https://twitter.com/infobeautiful

    40 min
  • BlazingSQL with Felipe Aramburu and William Malpica

    Join me as I sit down with Felipe Aramburu and William Malpica as we talk about BlazingSQL's GPU-accelerated SQL queries, start-up life, the tech talent in Peru, things we used to hate about SQL and a lot more. 

    Give BlazingSQL a try at app.blazingsql.com and once you're convinced, and go here beta.blazingsql.com for their beta of the paid version that will give you access to very large GPU clusters. Thanks! 


    40 min
  • Artificial General Intelligence in Our Lifetimes with Rachel Allen

    In the first bonus episode of RAPIDSFire, I sit down with Rachel Allen, who holds a PhD in Neuroscience. We talk about how neural net models relate to and differ from real brains, ethical issues around conscience machines and their training, and what steps might be taken to get closer to true thinking machines. I had a lot of fun recording this, and I hope you enjoy it! 

    Reconstructing visual experiences from brain activity evoked by natural movies

    https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326357/

    Dead Salmon Study

    http://prefrontal.org/files/posters/Bennett-Salmon-2009.jpg

    Existential Comics - Turing Tests and Other Things of That Nature

    https://existentialcomics.com/comic/357

    Spiteful Octopi

    https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.3266

    Corrupted Microsoft Language Model

    https://spectrum.ieee.org/tech-talk/artificial-intelligence/machine-learning/in-2016-microsofts-racist-chatbot-revealed-the-dangers-of-online-conversation

    31 min
  • Cybersecurity Data Science with Rachel Allen and Bartley Richardson

    Join me as I talk with Rachel Allen and Bartley Richardson about applying data science to cybersecurity with GPUs and RAPIDS. We'll also talk in-depth about an amazing extension of the BERT transformer model: CyBERT, the pre-built GPU pipelines in CLX, a super fast GPU tokenizer, and what to expect from them next. 

    The link to the repos discussed in the episode is here: https://github.com/rapidsai/clx

    41 min
  • RAPIDSFire Episode One: The Birth of RAPIDS with Josh Patterson and Keith Kraus

    Welcome to the first episode of RAPIDSFire! My rotating cohost this week is Josh Patterson, Senior Director of Engineering at NVIDIA, and Keith Kraus, Systems Software Senior Manager at NVIDIA. These two gentlemen were driving forces behind RAPIDS from the very start, and this is an illuminating talk about GPU data science, open source software, and the past, present, and future of RAPIDS.  

    42 min

About RAPIDSFire

From the publisher's feed

Follow the RAPIDSFire podcast for a fresh take on data science. Hear from revolutionaries transforming data science on GPUs for scientific research, higher education, and the broader enterprise. Talks with open-source software maintainers, Kaggle grandmasters, practitioners, CUDA experts and many others keep you up-to-date on the most exciting developments. Let's discuss how to make your work better and faster. Hosted by Data Scientist Paul Mahler.