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
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...)
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
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
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”
Rachel Allen retweeted
Very excited to share the winning solution to the RecSys Challenge 2020 hosted by @Twitter. Not only did our team take 1st place, we also sped up the solution by 25x over CPU for all stages of the pipeline, doing feature engineering and training in 2 mins!
Winning the 2020 @recsyschallenge challenge wasn't easy. @kaggle grandmasters, fast #GPU, crafty feature engineering in @rapidsai, and @XGBoostProject made it possible. Now it's all in @nvidia #NVTabular! nvda.ws/360d4iD
Rachel Allen retweeted
Moms: We are drowning. Help.
Everyone: Wow you’re superhuman!
Moms: What? No. Can you just hel—
Everyone: I don’t know how you do it!
Moms: We’re not. Help us.
Everyone: OMG you’re amazing tho 😍😍😍
Rachel Allen retweeted
RAPIDS stands against unequal justice and systemic racism. RAPIDS is rooted in community and diversity. We are committed to serve our community and work toward a better society for Black lives in which liberty and justice is truly for all. Black Lives Matter.
Rachel Allen retweeted
This is probably the easiest and smoothest way to try @rapidsai and @blazingsql today. Give it a shot!
Announcing BlazingSQL Notebooks! Sign in and write code on GPUs link.medium.com/SF4osOeU65 #OpenSource #DataScience
Rachel Allen retweeted
Let’s talk about what happens if you get COVID19 and recover. Are you immune to the disease? How long does the immunity last? And what does that mean for your life and for the public health and economy of our society? 1/
Rachel Allen retweeted
“People trust data. Numbers seem real. Charts have charismatic power. People believe what can be quantified. But data do not always accurately reflect the state of the world.” theatlantic.com/technology/a…