Top news of the week: 02.04.2020.
Learning, Neural network, Scientific method, Machine learning, Computer vision, Health care
Research
RT @peteskomoroch: Many companies struggle to get impact from machine learning projects, so @mikeloukides and I wrote this guide: "What you need to know about product management for AI" https://t.co/45kfIFYVTA
OpenWhat you need to know about product management for AI
A product manager for AI does everything a traditional PM does, and much more.
RT @octoml: Interested in trying out the first ever end to end, optimized, open source binary neural network framework? Read all about the 12x end to end speedups available from Riptide in our latest blog entry by our very own Josh Fromm:
https://t.co/uvTtHoysAt
OpenRiptide: Fast, Full Binarization in TVM
The first end to end, optimized, open source framework for binary deep learning.
RT @alliekmiller: @melsreallife @peteskomoroch @PyTorch @TensorFlow I completely agree. Here's a full walk-through: https://t.co/iUtWsbXlWa
OpenThe Startup’s Guide to Building Machine Learning on AWS
Allie K. Miller the Head of ML Growth, Startups and Venture Capital and Emily Webber, Machine Learning Specialist Solutions Architect, both of AWS, walk through how to create an Amazon ...
RT @omarsar0: NLP Research Highlights — Issue #1
ICYMI, in this article I highlight some NLP trends and topics with a focus on summarizing the what, how, and why of a selection of interesting and important NLP papers published in the last few months.
https://t.co/I4zB4VH8Xg https://t.co/epAmYZxH42
OpenNLP Research Highlights — Issue #1
Introducing a new dedicated series to highlight the latest interesting natural language processing (NLP) research.
Artificial intelligence identifies optimal material formula
Nanostructured layers boast countless potential properties—but how can the most suitable one be identified without any long-term experiments? A team from the Materials Discovery Department ...
RT @ankurhandos: Physics Informed Neural Network (PINNs) is a nice two part series on data driven solutions to partial differential equations (e.g. navier stokes and schrondinger equation).
Part I: https://t.co/mW3C9PaY86
Part II: https://t.co/yZxbLEC48t
https://t.co/tECFmfyxKR https://t.co/66myGIwnUC
OpenPhysics Informed Deep Learning
Data-driven solutions and discovery of Nonlinear Partial Differential Equations
@skoularidou Now on drug discovery: using pretrained neural networks to combine with models that Gates foundation is funding work on. https://t.co/hrqEQVfTWY
OpenBill and Melinda Gates fund study into finding coronavirus cure
Thousands of medicinal samples to be tested in Belgium for inhibiting impact on virus
ELLIS society organizes an online workshop on Apr 1st to present projects on how to tackle Covid-19 using ML/AI methods. The aim is to gather feedback and, of course, contributors https://t.co/w7xlEIKk0C
OpenELLIS against Covid-19 on April 1
The world is facing a public health emergency caused by the Covid-19 pandemic. We all need to take this on, and science can make a major contribution. This online workshop will present ...