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Free AI Study Materials to Start New Year Resolution

Synced Global AI Weekly January 6th

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Tsinghua University Publishes Comprehensive Machine Translation Reading List
Tsinghua Natural Language Processing Group has published a great reading list on GitHub for any budding AI researchers whose New Year’s resolution is to study machine translation. The list compiles the most influential MT papers from the past 30 years, spotlighting the 10 most important contributions to the development of machine translation.
(Synced)


UC Berkeley and Berkeley AI published All Materials of CS 188: Introduction to Artificial Intelligence, Fall 2018
UC Berkeley and Berkeley AI introduced a new course Introduction to Artificial Intelligence. This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm.
(UC Berkeley)


AI Predictions for 2019 from Yann LeCun, Hilary Mason, Andrew Ng, and Rumman Chowdhury
Artificial intelligence is cast all at once as the technology that will save the world and end it. To cut through the noise and hype, VentureBeat spoke with luminaries whose views on the right way to do AI have been informed by years of working with some of the biggest tech and industry companies on the planet.
(VentureBeat)


2018 In Review: 10 Open-Sourced AI Datasets
In a boon to AI researchers, the last year witnessed an unprecedented open-sourcing of large datasets by popular AI research projects.
In the conclusion to our year-end series, Synced spotlights ten datasets that were open sourced in 2018 and takes a peek into the papers behind them. We hope this list can provide the AI community with insight into what 2019 might hold in store for big data.
(Synced)


Technology

Predicting Future Instance Segmentation by Forecasting Convolutional Features
Facebook AI Research (FAIR) has open sourced the code associated with their European Conference on Computer Vision (ECCV) paper entitled “Predicting Future Instance Segmentation by Forecasting Convolutional Features”.
(Facebook AI Research) / (GitHub)


InstaGAN Excels in Instance-Aware Image-To-Image Translation
Researchers at the Korea Advanced Institute of Science and Technology and Pohang University of Science and Technology have introduced a machine learning algorithm system, InstaGAN, which can perform multiple instance-aware image-to-image translation tasks — such as replacing sheep in photos with giraffes — on multiple image datasets.
(Synced)


Alibaba Open-Sources Mars to Complement NumPy
Alibaba Cloud recently announced that it has open sourced Mars — its tensor-based framework for large-scale data computation — on Github.Mars can be regarded as “a parallel and distributed NumPy.”
(Synced)

You May Also Like

To Hire or Not to Hire Online AI Grads: That Is the Question
It all started with a tweet from Google Japan Data Project Manager Suzana Ilić: “Yesterday someone (ML, CS PhD, Stanford) said he would not hire a person who is online educated in Machine Learning. Who here agrees and who thinks differently?” The question triggered a long and occasionally heated discussion that spread from Ilić’s twitter across the ML community.
(Synced)


Tencent AI Lab Director Leaves
It did not take long to see the first major AI talent reshuffling of 2019. Multiple sources are now confirming that reputed AI researcher Dr. Tong Zhang left his position as Executive Director of Tencent AI Lab effective December 31. Rumours suggest Zhang might return to teaching.
(Synced)

Global AI Events

January 8–11 CES 2019. Las Vegas, United States

January 24–25, 2019 The AI Assistant Summit. San Francisco, United States

Jan 27 – Feb 1, 2019 AAAI 2019: Association for the Advancement of Artificial Intelligence. Hawaii, United State

Global AI Opportunities

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