Self-supervision and building more robust speech recognition systems
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Facebook
Self-supervision and building more robust speech recognition systems
Facebook AI has pioneered a new self-supervised approach to automatic speech recognition systems and also improved robustness and efficiency of speech recognition through a range of research projects.
25 Open Datasets for Deep Learning Every Data Scientist Must Work With
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Analytics Vidhya
25 Open Datasets for Deep Learning Every Data Scientist Must Work With
Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from image processing to speech recognition. Each of these problem has it’s own unique nuance and approach. But where can you…
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
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Open Sourcing Amundsen: A Data Discovery And Metadata Platform
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Taking City Visualization into the Third Dimension with Point Clouds, 3D Tiles, and deck.gl
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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
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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.