andy feng

Deep Learning, Machine Learning, and Big-Data

[andy feng @afeng76]

We are pleased with the very positive reaction to our product announcement at RSNA18. Please sign up and try it out. https://t.co/gjqL4nO1Mz

[andy feng @afeng76]

@nvidia applied scientist, Holger Roth, received @MICCAI2018 young scientist award. He authored some earliest work in DL in Medical Imaging. His 2014 paper: "A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations".

[NVIDIA Europe @NVIDIAEU]

Congratulation to our Andriy Myronenko on winning the 1st place by a significant margin in BraTS challenge (Brain Tumor Segmentation Challenge), which is one of the largest 3D medical segmentation challenges with 390 participants this year. #MICCAI2018 #AI

[andy feng @afeng76]

Nvidia medical imaging researchers won the brain tumor segmentation challenge #Brats2018 at @MICCAI2018. Paper "3D MRI brain tumor segmentation using autoencoder regularization" in proceedings https://t.co/MAPZNKY58v. Power of deep learning innovation and V100 GPU.

[TensorFlow @TensorFlow]

#TensorFlow now supports RDMA based distributed training on Infiniband networks. Thanks to @Yahoo for contributing #TensorFlowOnSpark

[andy feng @afeng76]

Nice NextPlatform article on #TensorFlowOnSpark and #CaffeOnSpark with #YAHOO clusters and use cases. https://t.co/yXNA3YfMog

[andy feng @afeng76]

#Yahoo is pleased to open source #TensorFlowOnSpark at https://t.co/SGhZXyVoRN as a follow-up of #CaffeOnSpark. https://t.co/gfIHKt8HkK

[andy feng @afeng76]

Yahoo released deep learning solution for classifying images suitable for work or not. #CaffeOnSpark use case. https://t.co/vVQkQZnU5i

[andy feng @afeng76]

Yahoo released Pulsar, a scalable pubsub messaging solution, as open source. blog: https://t.co/2YrHwOeuKd github: https://t.co/jhIsZEmFsm

[andy feng @afeng76]

Our story on how big-data #MachineLearning contributes to business bottom line. @miha_jlo #word2vec @ApacheSpark https://t.co/m0g1cGxQSE

[Mihajlo Grbovic @miha_jlo]

Our paper on #word2vec parameter server implementation for large vocabularies accepted at #cikm2016 https://t.co/E2RIFYBIyI #MachineLearning

[Mihajlo Grbovic @miha_jlo]

We wrote a blog post on how we use query and ad embeddings in Yahoo Search for better ad matching #word2vec #bigdata https://t.co/dPrBeutXEn

[Google DeepMind @GoogleDeepMind]

#DeepMind Team win 2 of 3 best paper awards at #icml2016! Congrats to all! https://t.co/ODYXR0NxJJ https://t.co/LynahdnqQp

[andy feng @afeng76]

Join my session @hadoopsummit "Distributed Deep Learning on Hadoop Clusters" https://t.co/95TUVvR6Rw #CaffeOnSpark #HS16SJ

[Carlos Mario @carlos_mario__]

Distributed Deep Learning with Caffe Using a MapR Cluster - We have experimented with CaffeOnSpark on a 5 node ... https://t.co/M2hzQtH1EQ

[andy feng @afeng76]

Glad to see MapR's post on applying CaffeOnSpark: https://t.co/DKIwfP1o4n

[andy feng @afeng76]

My team will present 2 talks on large-scale machine learning at #SparkSummit: https://t.co/3rCXrnXCQO, https://t.co/CtBhNMKkCS. C U there!

[DataWorksSummit @DataWorksSummit]

Thank you to our Track Chairs https://t.co/LDZ0ppPBbE @afeng76 @halfabrane @SeshuAd @SQLCindy @JamesPlusPlus @srr @jaymce Gearóid O’Brien

[andy feng @afeng76]

My team will talk about CaffeOnSpark at Bay Area Hadoop User Group meetup next Tuesday. https://t.co/oL6Aw2Lfvv

[andy feng @afeng76]

Storm 1.0.0 released https://t.co/r0OCUnWBe6

[andy feng @afeng76]

Distrbuted DL is getting easier with CaffeOnSpark Python API and IPython Notebooks https://t.co/gyne7yM9Ws

[Mridul @mridul_jain]

#CaffeOnSpark apis are now available in #python . Enjoy distributed #DeepLearning and classic #machinelearning from one #ipython notebook