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Join us at the Artificial Intelligence Conference Series
If you’re involved in projects and initiatives that could be impacted by AI and/or RPA, we’d like you to join us at this years’ Artificial Intelligence Conference Series, hosted by Kisaco Research – including AI for Health & Life Sciences and AI & RPA for Enterprise. Speakers will be sharing exciting use cases and technology from Microsoft, Barclays, BT, Ticketmaster, Virgin Media, Babylon Health and more.
Get a 15% discount off ticket prices when using the promotional code ‘AI15’. Book your spot today to avoid missing out. Tickets are strictly limited.
View the event agendas: AI for Health & Life Sciences, AI & RPA for Enterprise
In the News
A look at IBM’s Watson 5 years after its debut
5 years ago, Watson became known worldwide by beating human champions at Jeopardy. Since then, IBM has been using it as an umbrella name to cover most of its ML / AI products, leading to some controversies. How far have they actually gotten?
AI’s Language Problem
Machines that truly understand language would be incredibly useful. But we don’t know how to build them.
Twitter facial analysis reveals demographics of presidential campaign followers
If you follow Hillary Clinton or Donald Trump on Twitter, your face has probably been analyzed by a machine to determine your age, ethnicity, and social influence.
Also in the news this week...
- Uber and Volvo announce $300M joint venture to develop self driving cars. First fleet to arrive in Pittsburgh soon. More
Learning
Analyzing over 1M hotel reviews
How to use sentiment analysis to crunch millions of TripAdvisor reviews and understand how people feel about hotels in different cities
Image Completion with Deep Learning in TensorFlow
Fantastic post by Brandon Amos on how to achieve image completion (i.e. fill missing parts in images) with Generative Adversarial Networks. Great for beginners as well as more advanced coders, explains the theory and the code.
AMA with the Google Brain team
Interesting discussion on Reddit with a few of Google Brain team's members. Questions on their current work and links with Deepmind, their hardware innovations (TPUs) and how they differ from academic labs in their daily work and objectives.
Deep Learning in Fashion
Tutorial on clothing matching
Software tools & code
Top Deep Learning projects
This is a list of the most popular Deep Learning projects on Github. The top 2 are (of course) Tensorflow and Caffe. But you may find a few hidden gems lower in the list.
Loosing weight with ML
Interesting endeavor where Ariel Faigon tracked his lifestyle for a few months and then used ML to determine how to losse weight. He shares insights and code. The approach seems to have worked. If you are curious, here are the lifestyle choices that contributed most to his weight loss (according to ML) => stay at home, sleep, bacon, egg, parmesan and olive oil. Surprising!
Machine Learning exercises
Long list of machine learning exercises in Python, taken from Andrew Ng's class on Coursera. Many topics are covered, from linear regression to k-means clustering, SVMs and neural networks.
Bayesian Sentiment Classifier
This project (along with code) explores a few optimizations to typical Naive Bayesian methods for sentiment analysis.
Hardware
Samsung turns IBM's brain-like chip into a digital eye
Samsung is using IBM's 'neural network on a chip' TrueNorth tech for vision image processing - demoing gesture recognition on a TV
Titan X benchmark
Benchmarking the new Nvidia Titan X by querying 1.1 billion taxi trips made in New York City over the course of six years.
Intel announces Knights Mill
Intel wants a seat in the Deep Learning market - announces a Xeon Phi For Deep Learning
Some thoughts
Dreaming of names with RBMs
Dreaming of human names, geographic names and Github repository names. Serves as an introduction to RBMs.
Neural Net turns NYC into moving painting
About
This newsletter is a collection of AI news and resources curated by @dlissmyr. If you find it worthwhile, please forward to your friends and colleagues, or share on your favorite network!
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