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techaidaustralia-blog · 7 years ago

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AI Weekly 5 Jan 2018

Welcome in 2018 and a Happy New Year! New AI weekly focuses mainly on China (probably biggest investor in AI right now) and some predictions for upcoming months. But that’s not all, you can find here also new cool summaries of AI related events and libraries from 2017. Enjoy your weekend reading other AI news and don’t forget to share it with your friends 😉

GENERAL

The 5 Most Interesting Artificial Intelligence Trends for Entrepreneurs to Follow in 2018 — The current pace of innovation makes it almost impossible to stay on top of the AI trends, but understanding these advancements is a must for business owners who want to stay ahead. http://bit.ly/2lYtob4

China is building a giant $2.1 billion research park dedicated to developing A.I. — China is planning to build a 13.8 billion yuan ($2.1 billion) technology park dedicated to developing artificial intelligence (AI), state-backed news agency Xinhua reported Wednesday. The campus will be constructed within five years and situated in the suburban Mentougou district in western Beijing. It will cover 54.87 hectares, Xinhua said. The technology park will be home to around 400 businesses and is expected to create an annual output value of about 50 billion yuan. http://cnb.cx/2EbXe3p

These are the two books that are helping Xi Jinping understand AI — China’s president Xi Jinping is an avid reader. He peppers his speeches with quotes from his favorite writers, including Charles Dickens, Victor Hugo, and Paulo Coelho. His annual New Year’s Day greetings offers a rare look into the secrets of his office bookshelf — something Chinese netizens enthusiastically examine each January. http://bit.ly/2CLqpOv

How an A.I. ‘Cat-and-Mouse Game’ Generates Believable Fake Photos — At a lab in Finland, a small team of Nvidia researchers recently built a system that can analyze thousands of (real) celebrity snapshots, recognize common patterns, and create new images that look much the same — but are still a little different. The system can also generate realistic images of horses, buses, bicycles, plants and many other common objects. http://nyti.ms/2Eb1Qqc

AI in 2018: Google seeks to turn early focus on AI into cash — Alphabet has spent billions injecting machine learning into all aspects of its business, though returns will be hard to track http://on.mktw.net/2F2jduM

How Do You Vote? 50 Million Google Images Give a Clue — What vehicle is most strongly associated with Republican voting districts? Extended-cab pickup trucks. For Democratic districts? Sedans. Those conclusions may not be particularly surprising. After all, market researchers and political analysts have studied such things for decades. But what is surprising is how researchers working on an ambitious project based at Stanford University reached those conclusions: by analyzing 50 million images and location data from Google Street View, the street-scene feature of the online giant’s mapping service. http://nyti.ms/2CJilgU

Deep learning sharpens views of cells and genes — Eyes are said to be the window to the soul — but researchers at Google see them as indicators of a person’s health. The technology giant is using deep learning to predict a person’s blood pressure, age and smoking status by analysing a photograph of their retina. Google’s computers glean clues from the arrangement of blood vessels — and a preliminary study suggests that the machines can use this information to predict whether someone is at risk of an impending heart attack. http://go.nature.com/2D0CNqN

Statistical Computing for Scientists and Engineers — full course with videos, slides and homework http://bit.ly/2lXcl9e

AI and Deep Learning in 2017 — A Year in Review by Denny Britz http://bit.ly/2CWbwWa

PROGRAMMING

30 Amazing Machine Learning Projects for the Past Year (v.2018) — For the past year, we’ve compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance). This is an extremely competitive list and it carefully picks the best open source Machine Learning libraries, datasets and apps published between January and December 2017. Mybridge AI evaluates the quality by considering popularity, engagement and recency. To give you an idea about the quality, the average number of Github stars is 3,558. http://bit.ly/2AxQ2fo

Improving your data science workflow with Docker — Containerization is a trend that is taking the tech world by storm, but how can you, a data scientist, use it to improve your workflow? Let’s start with some basics of containerization and specifically Docker and then we’ll look at a couple of use cases for containerized docker science. http://bit.ly/2EbbadF

TensorFlow 1.5.0 Release Candidate — http://bit.ly/2lYBYGA

AIGaming — a platform that allows computer programs — also known as bots, to play each other at challenging games to win bitcoin. http://bit.ly/2m1TgTw

wav2letter — Facebook AI Research Automatic Speech Recognition Toolkit http://bit.ly/2m06Vua

PAPERS

DeepMind Control Suite — The DeepMind Control Suite is a set of continuous control tasks with a standardised structure and interpretable rewards, intended to serve as performance benchmarks for reinforcement learning agents. The tasks are written in Python and powered by the MuJoCo physics engine, making them easy to use and modify. http://bit.ly/2AydWaJ

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techaidaustralia-blog · 7 years ago

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