How has #GenAI been leveraged for #cybersecurity and what's on the horizon?
Come join me tomorrow at 12pm EST to discuss GenAI and cybersecurity applications with @mitopenlearning
Registration is free and open to all: mit.zoom.us/webinar/register…
Rachel Allen retweeted
Detect Cybersecurity threats in an Instant. Introducing NVIDIA Morpheus, a new AI framework for creating zero-trust data center security. Learn more: nvda.ws/2QiklEM
Rachel Allen retweeted
The engineers and researchers at @splunk are doing amazing work to move log parsing away from a rules-based approach. This blog by @AbrahamStarosta details how they use @nvidia #Triton and #Morpheus to parse machine logs with #MachineLearning. splunk.com/en_us/blog/it/how…
Rachel Allen retweeted
🎉 Introducing... Datasets! We are now indexing 3000+ research datasets from machine learning. Find datasets by task and modality, compare usage over time, browse benchmarks, and much more! Explore the catalogue here: paperswithcode.com/datasets
Rachel Allen retweeted
My @GlobalPy talk on " Accelerating Text Processing with @RAPIDSai " is now public.
Please check it out to learn more about how GPUs are awesome for all sorts of text processing.
youtu.be/r2UhxrP1BCo
Rachel Allen retweeted
GPU acceleration comes to SHAP! Explain #MachineLearning model predictions from @XGBoostProject 20x faster or more with minimal code changes. nvda.ws/3sj2WtZ
I had a really fun conversation with @realpaulmahler about #AGI and #ethicalAI issues. Check it out on the #RAPIDSFire podcast!
Join #RAPIDSFire host @realpaulmahler and guest @RachelKayAllen who discuss the future of artificial general intelligence, how neural nets relate to actual brains, and issues to consider as we move toward an AGI future. #AI nvda.ws/35x2zCs
Rachel Allen retweeted
Hoovering up all the event logs but finding out that now you only have seconds of retention (or more aptly not finding out until too late...)
Big thanks to @realpaulmahler and @BartleyR for the fun times on the RAPIDSFire podcast!
RAPIDSFire Kicks off 2021 by teaching an old "log" new tricks from @RachelKayAllen @BartleyR who discuss #GPU #DataScience for #cybersecurity - nvda.ws/2Xf3tyU
Diversity improves learning in bio and artificial neural networks... and in academic labs and industry teams 😉
Have you ever wondered why neurons are like snowflakes? No two alike, even if they're the same type. In our latest preprint, we think we have (at least part of) the answer: it promotes robust learning.
Tweeprint follows (1/16)
biorxiv.org/content/10.1101/…
Rachel Allen retweeted
Using GPUs and @RAPIDSai, @bianca_rhodes and @RachelKayAllen achieved an 11x speed-up in an inferencing pipeline for detecting malicious #IoT devices. Using #cuML FIL to process over 1M logs/s! 🔥🔥 #CyberSecurity
#cybersecurity workflows need to flag malicious traffic as close to the event as possible. See an 11x speed-up by switching your streaming inference pipeline to @RAPIDSai cuStreamz & FIL on #GPU. Process +1M connection logs/s and mitigate attacks quickly. nvda.ws/3oZfILS
Check out accelerated GPU log parsing with @rapidsai subword tokenizer and Streamz! It's the most fun you'll ever have parsing logs!
Checkout the new pipeline improvements in cyBERT 2.0 - Streaming #GPU log parsing with @rapidsai and new subword tokenizer & integration with #Python Streamz library. Let us know how you're using cyBERT! nvda.ws/2IOqB3p
Rachel Allen retweeted
If you haven’t checked out our accelerated sub word tokenizer, it’ll still be there after you #vote! Your vote is precious and hard-fought - use it, cherish it. And let’s make things better than how we found them. #Vote2020
In a snap, 2 years disappeared and @rapidsai blossomed. Our 0.16 release has more scale/ease of use with our new #GPU #SHAP, #TPOT integration, cyBERT 2.0, @blazingsql, #NVTabular, and more all built on @dask_dev. Plus, #RAPIDSFire podcast drops soon! nvda.ws/34NYTMn
Don’t miss this awesome talk by @tomekdrabas tomorrow! Train your BERT model with @blazingsql and @rapidsai 🔥🔥🔥
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Rachel Allen retweeted
In a bit more than an hour, I'll train live a language model on @nvidia's tweets to see what kind of text it generates & talk about how the revolution of natural language processing is changing how companies understand text.
Follow it live here: nvidia.com/en-us/gtc/session… #GTC20
Rachel Allen retweeted
Stop by office hours tomorrow for live Q&A on “Fundamentals of high-performance data science with @rapidsai" at #JupyterCon2020: academy.numfocus.org/about-c…
"Fundamentals of high-performance data science with RAPIDS," presented by Zahra Ronaghi at #JupyterCon2020 is now OPEN. This speaker will be presenting live at the scheduled times! (No pre-recorded video.) academy.numfocus.org/about-c…
Rachel Allen retweeted
Check out the talk on "GPU-Accelerated String Processing with RAPIDS" by David Wendt and me in #gtc2020 and learn how RAPIDS can speed up your own string processing pipelines.
nvidia.com/en-us/gtc/session…
Rachel Allen retweeted
“They were careless people…they smashed up things and creatures and then retreated back into their money or their vast carelessness or whatever it was that kept them together, and let other people clean up the mess they had made.”
- F. Scott Fitzgerald, “The Great Gatsby”
virtual #GTC20 happening all week! 1000s of talks and exciting announcements! Spoiler: the future is now
