Top news of the week: 08.10.2020.

Medical imaging, Machine learning, Image editing, Data type, Method acting, Health care

Research

On Oct 7, 2020
@ylecun shared
RT @PyTorch: NeMo, @NVIDIA’s open-source toolkit based on #PyTorch, allows you to quickly build, train, and fine-tune conversational AI models. See how speech recognition, natural language processing and speech synthesis can be improved in this tutorial: https://t.co/SJ9Ks7NBWr
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NVIDIA NeMo: Neural Modules and Models for Conversational AI

NVIDIA NeMo: Neural Modules and Models for Conversational AI

NeMo, NVIDIA’s open-source toolkit based on PyTorch, allows you to quickly build, train, and fine-tune conversational AI models.

On Oct 5, 2020
@dribnet shared
RT @CSProfKGD: Excited to finally hang these awesome #AI @dribnet creations in my home office 😍 Intro to Tom’s #AIart https://t.co/eJYegZRaL2 Thank you to my former MSc @mtesfald for the amazing gift!!! https://t.co/glRRDEncTs
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Tom White is a New Zealand based artist investigating how machines see the world.

Tom White is a New Zealand based artist investigating how machines see the world.

Collaborating with AI systems, White creates physical abstract prints that are reliably classified by neural networks. Selected AI projects by Tom White: White on using artificial …

On Oct 6, 2020
@jeremyphoward shared
RT @andreas_madsen: After my blog post on getting a Spotlight award at ICLR, as an Independent Researcher, I got nearly 2000 emails. Many have asked what happened after. – It's a painful story about losing the Google AI Residency due to COVID-19, and more. Here is that story! https://t.co/pseVi11lv3
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9 months after my ICLR spotlight award, as an Independent Researcher.

9 months after my ICLR spotlight award, as an Independent Researcher.

A real story of having succeeded, to have promises broken and dreams crushed, and feeling sorry for yourself when others have it worse.

On Oct 1, 2020
@xamat shared
RT @CuraiHQ: Overview of our research in medical AI/ML by @anithakan https://t.co/LgCvt8lpjI
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Research at Curai

Research at Curai

ML/AI research at Curai — Medical NLP and reasoning

On Oct 2, 2020
@peteskomoroch shared
RT @vinayprabhu: (1/N) @Abebab, @si3luwa , @IDoTheThinking & I worked to democratize scrutiny of the saliency-based image cropping technology & have created an interactive app you can access here: https://t.co/bJyU6Ys4J5 (CC'ing @AnimaAnandkumar @JeffDean @paraga ) https://t.co/p8EkH16TAZ
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Investigating Saliency Based Image Cropping

Investigating Saliency Based Image Cropping

Generate an easy-to-use UI for your ML model, function, or API with only a few lines of code.

On Oct 7, 2020
@ylecun shared
RT @schrep: (1/n) Anyone who's needed an MRI understands how uncomfortable and expensive it is. Many others needed one but couldn't get one because these limitations. This is my I'm excited about further work on accelerating MRI's via AI: https://t.co/tQhpUYinsw
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Using reinforcement learning to personalize AI-accelerated MRI scans

Using reinforcement learning to personalize AI-accelerated MRI scans

The future of healthcare is personal. Today we’re publishing research on active MRI acquisition, which uses reinforcement learning to adjust AI-accelerated scans on a

On Oct 7, 2020
@_rockt shared
RT @iclr_conf: @natashajaques Thank you for your feedback - we really appreciate it! We have now updated our examples in the Reviewer Guide: https://t.co/BWFpXXsOEf. The new examples are more recent and align with our reviewing guidelines. We hope #ICLR2021 reviewers and area chairs find these valuable.
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On Oct 6, 2020
@peteskomoroch shared
RT @w4nderlus7: Ludwig v0.3 is out! Ported to @TensorFlow 2, declarative hyperparameter optimization, @huggingface transformers integration, @weights_biases integration, new data formats, support for weak labels, and more. Enjoy! https://t.co/ogKxCcaIaO @ludwig_ai
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Ludwig v0.3 Introduces Hyper-parameter Optimization, Transformers and TensorFlow 2 support

Ludwig v0.3 Introduces Hyper-parameter Optimization, Transformers and TensorFlow 2 support

In February 2019, Uber released Ludwig, an open source, code-free deep learning (DL) toolbox that gives non-programmers and advanced machine learning (ML) practitioners alike the power to ...