Uber’s self-driving cars have hit the streets Issue 49: CognitionX Data Science, AI and Machine Learning Briefing

 


Apple wants to empower Siri with the introduction of the Airpods. Its competitors like Amazon’s Echo and Facebook are are capturing the widest range of consumer data to feed their bots. Who do you think will create the most powerful AI? One of the big five tech companies? A startup? Let us hear your thoughts!

See below, Clement Fredembach, data scientist at Teradata, predicts the death of characters in Game of Thrones. If you haven’t watched/read it yet be careful, spoiler alert…

Best,

Tabitha ‘WinterIsComing’ Goldstaub

Innovation

Uber’s self-driving taxis have hit the street

Uber’s self-driving cars are now picking up passengers in Pittburgh. There is still a person required behind the steering wheel to make corrections and monitor progress.

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Feed your mind over lunch

Airpods and data science will help Apple to create the worlds most powerful bot

With the announcement of Apple’s Airpods, Siri is about to be exposed to the daily activities of Apple users. Siri will be able to make suggestions at any point of the day based on geolocation. Collecting the language inputs from their users could enable Apple to collect more data than Google and Amazon are already collecting.

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Education, training and advice we rate

TensorFlow tutorial to build any model from scratch

GitHub user KnHuq provides you examples to understand the implementation of Dynamic RNN in TensorFlow. The codes can also be extended to create neural stack machine, neural turing machine and RNN-EMM in TensorFlow

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Introduction to Luna, Torch and Neural Nets

GitHub user Atcold created a video series of introductory video tutorials on Torch, which is one of the fastest and most flexible frameworks for Machine and Deep Learning.

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Pure unadulterated research

Lowest error rate for speech recognition in the industry

Just after Google Deepmind announced their WaveNet technology, Microsoft released a research paper where they have combined “neural network based acoustic language modeling” on a telephone speech recognition test used as an industry standard. Their AI computer speech recognition has reached a word error rate of 6.3% down from 43% twenty years ago.

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What you might have missed from yesterday

Nvidia is going to win the machine learning battle

Intel and Nvidia have been battling each other recently, with both of them claiming they have the superior technology for deep learning applications. Now analyst Chowdhry says that Nvidia will win the battle because ML is a “passion” for Nvidia, whereas it is merely a “hobby” for Intel. After the news Nvidia stock advanced more than 3%.

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Coding experiments

Predicting Game of the Thrones deaths

Clement Fredembach, data scientist at Teradata, made a blog post on how to use data to predict a character’s death in Game of Thrones. He read each book at least four times to become familiar with the subject material. The results are highly reliable and its accuracy over the first three books is remarkable considering the limited information.

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Deal of the Day

Intel and Teva partner to find cure for Huntington’s disease

Intel and Israeli pharmaceutical firm Teva are partnering to develop wearables and a ML platform that can be used to treat Huntington’s Disease, a typically fatal disease that causes nerve cells in the brain to deteriorate. Currently there is no cure, but the cooperation will help to better understand the progression of the disease.

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Weekend Watching

How to build the future? – Elon Musk

 

Y combinator’s interviewed Elon Musk as part of their How to Build the Future series. Musk answers questions including: his view of the future, how to be the next Elon Musk and how to contribute to society.

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