Google Claims To Achieve Quantum Supremacy — IBM Pushes Back
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How ‘adversarial’ attacks reveal machine learning’s weakness
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HomeLight raises $109 million for AI that matches home buyers with real estate agents
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HomeLight raises $109 million for AI that matches home buyers with real estate agents
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VentureBeat
How ‘adversarial’ attacks reveal machine learning’s weakness
Adversarial attacks are emerging as a major threat to progress in computer vision and machine learning as researchers race to find a defense.
OpenAI's dexterous robotic hand — separating progress from PR
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Skynet Today
OpenAI's Dexterous Robotic Hand — Separating Progress from PR
The Rubik’s cube solving hand is representative of a true research contribution, but its many caveats do not merit the PR hype
Towards Agile AI
http://bit.ly/2NXUg9a
Open Sourcing Amundsen: A Data Discovery And Metadata Platform
https://lft.to/36RTrah
Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl
https://ubr.to/32Cja3o
Improving Pickups with Better Location Accuracy
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Open Sourcing Amundsen: A Data Discovery And Metadata Platform
https://lft.to/36RTrah
Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl
https://ubr.to/32Cja3o
Improving Pickups with Better Location Accuracy
https://ubr.to/2CtLKJw
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Ebayinc
Towards Agile AI
In this article, we propose a set of better practices, designed by and for eBay ML scientists, for facilitating weaving ML modeling into the cyclical Agile process flow.
PipeDream: A more effective way to train deep neural networks using pipeline parallelism
http://bit.ly/35nvUNa
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Microsoft Research
PipeDream: A new approach to parallelize DNN training with pipelining
Microsoft Researchers with collaborators at Carnegie Mellon University and Stanford University created PipeDream, a new way to parallelize deep neural network training. See how PipeDream gets 5.3x faster training time by combining intra- and inter-batch parallelism.
Advanced machine learning helps Play Store users discover personalised apps
http://bit.ly/2rGluJF
Announcing the 2020 Uber AI Residency
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RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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Announcing the 2020 Uber AI Residency
https://ubr.to/35CoVzY
RoboNet: A Dataset for Large-Scale Multi-Robot Learning
https://stanford.io/2OSu1RX
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Deepmind
Advanced Machine Learning Helps Play Store Users Discover Personalised Apps
In collaboration with Google Play, our team that leads on collaborations with Google has driven significant improvements in the Play Store's discovery systems, helping to deliver a more personalised and intuitive Play Store experience for users.
Mining of Massive Datasets
The book is designed at the undergraduate computer science level with no formal prerequisites
http://bit.ly/35RBRlv
The book is designed at the undergraduate computer science level with no formal prerequisites
http://bit.ly/35RBRlv
Free AI Resources
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The 17 Best Free Tools for Data Science
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The 17 Best Free Tools for Data Science
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MarkTechPost
Free AI/ Data Science Resources
Find The Most Updated and Free Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Mathematics, Python, R Programming Resources.
Baidu’s Pre-training Model ERNIE Achieves New NLP Benchmark Record
http://bit.ly/2qRfxtA
Lessons Learned from Developing ML for Healthcare
http://bit.ly/2siwGN3
Deepfake Detection Challenge launches with new data set and Kaggle site
http://bit.ly/2EdOlZa
FastSpeech: New text-to-speech model improves on speed, accuracy, and controllability
http://bit.ly/35hkGKv
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
http://bit.ly/2LQMr4L
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Lessons Learned from Developing ML for Healthcare
http://bit.ly/2siwGN3
Deepfake Detection Challenge launches with new data set and Kaggle site
http://bit.ly/2EdOlZa
FastSpeech: New text-to-speech model improves on speed, accuracy, and controllability
http://bit.ly/35hkGKv
Microsoft Research Open Data Project: Evolving our standards for data access and reproducible research
http://bit.ly/2LQMr4L
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