Top Tweets for #SigOptSummit
One of our #SigOptSummit speakers, @Numenta's Subutai Ahmad, was featured on a recent @twimlai episode on #SparseNetworks. He discusses the brain's cortical columns, and why he's exploring mimicking them computationally: https://t.co/y8tmSd6dbi
Intel's Ke Ding recently used SigOpt to improve performance on recommendation models through software optimization methods. Catch the #SigOptSummit recap highlighting his work if you missed the talk in person: https://t.co/VfjJK3yhvR
Today, #NLP models can be used to predict the missing peptides of a protein structure, providing insights about the properties of those proteins. Learn how Alexander Rosenberg is advancing this work in this week's #SigOptSummit recap: https://t.co/5pGG3Sj60W
ICYMI – Check out the latest #SigOptSummit session recap, where we review highlights from our panel on Experimental Design in Materials Science: https://t.co/VetQ92MaV4
ICYMI – Check out recap of the @Novelis #SigOptSummit talk on how to streamline #materialsdesign with SigOpt's #IntelligentExperimentation tools: https://t.co/g9caSVHqP1
Listen to one of our #SigOptSummit speakers, Rafael Gomez-Bombarelli, as he discusses the ins and outs of using #ML and atomistic simulation to design new materials on the latest @twimlai podcast: https://t.co/ODEXpbPk67
Training over 200 LSTM models is no small feat. In this recap of the #SigOptSummit talk, gain insights from how @Accenture used SigOpt to optimize this process: https://t.co/8P40CA8aFI

Learn how Intel designs their system architecture for training Graph Neural Networks in this #SigOptSummit snippet with Sasi Avancha of @intel's Parallel Compute Labs. #GNNs https://t.co/Kk4A1pRtCg
Thank you to everyone who attended our first ever #SigOptSummit yesterday! Stay tuned for more information coming soon about how to access all of the content and materials.
Hear from AI leaders from Accenture, AWS, Intel, PayPal, and others as they share best practices for AI experimentation. Attend the free and virtual SigOpt AI & HPC Summit today to learn more. #SigOptSummit https://t.co/5qIXhEikUk

There's still time to attend the #SigOptSummit! Check out all of the speakers, panels, and sessions going live tomorrow starting at 8am PT, and register for your spot in this free and virtual event: https://t.co/fAodIWlJrF

Tomorrow at 4:30pm PT, catch the talk with @HabanaLabs on their methodology to reduce #MLPerf training runtime. Register for the #SigOptSummit session here: https://t.co/Di3jIF2S8B

Join other professionals working in AI and high-performance computing at #SigOptSummit by @SigOpt. Learn how to take your models from theory to practice at the free virtual summit on Nov 16th! https://t.co/u4P7CvHNJB

Time series forecasting can be applied to any industry — from forestry to retail. Pablo Zegers of @conoceanastasia explains how in this upcoming #SigOptSummit presentation. Reserve your free spot here: https://t.co/Uc0lEmcc7J

Paul Leu, of Laboratory for Advanced Materials (LAMP) at @PittTweet, will be at #SigOptSummit discussing his recent work on optimizing glass using fabrication strategies with multi-objective Bayesian optimization. Register here for the Nov 16 event: https://t.co/12j2UgjVPt

To use graph neural networks on real world problems, we need new techniques to reduce memory and compute requirements. Join us for a panel discussion with experts from @Intel, @PayPal, and @awscloud on the future of #GNNs: https://t.co/c6tF7TnXe1 #SigOptSummit

Sparse networks hold incredible potential. @Numenta researcher @SubutaiAhmad reached 100x acceleration compared to dense networks. He will share #ML #HPO strategies and #HW techniques that can lead to faster networks. Register for his #SigOptSummit talk: https://t.co/s8TRwfyzlI

Applying #DeepLearning models to healthcare opens up a world of possibility. @AlexRoseJo shares insights from their latest peer-reviewed results and how to work within the constraints of healthcare.
Register for the free Nov 16 #SigOptSummit talk: https://t.co/8MzYXXWm7q

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