We have seen the likes of Google, Facebook, Amazon and many more come out in open and acknowledge the impact machine learning and deep learning had on their business. Last week, I published top videos on deep learning from 2016. I was blown away by the response. I could understand the response to some degree – I found these videos extremely helpful. So, I decided to do a similar article on top videos on machine learning from 2016.

Qualitative reasoning formalisms are an active research topic in artificial intelligence. In this survey we present a model-theoretic perspective on qualitative constraint reasoning and explain some of the basic concepts and results in an accessible way. In particular, we discuss the significance of omega-categoricity for qualitative reasoning, of primitive positive interpretations for complexity analysis, and of Datalog as a unifying language for describing local consistency algorithms.

We consider i.i.d. samples $x_1, \dots, x_n$ from a measure $\nu$ with density supported on a bounded Euclidean domain $D \subseteq R^d $ where $d\geq3$. A graph on the point cloud is obtained by connecting two points if one of them is among the $k$-nearest neighbors of the other. Our goal is to study consistency of graph based procedures to clustering, classification and dimensionality reduction by studying the variational convergence of the graph total variation associated to such $k$-NN graph. We prove that provided $k:=k_n$ scales like $n \gg k_n \gg \log(n)$, then the $\Gamma$-convergence of the graph total variation towards an appropriate weighted total variation is guaranteed.

Ever since people first discussing the concept of robots and "mechanical men" humans have been fascinated, not just by the frailty of our own existence but also about the possibility of a robo-rebellion, led by machines that are more intelligent, and more capable than us, and that could potentially, by all definitions, be immortal. In 1942 Isaac Asimov, one of the greatest science fiction writers of all time, devised one of the world's most captivating laws for his book the "Handbook of Robotics, 56th Edition, 2058 AD." Known as the Three Laws of Robotics many people have considered them to be the main go to laws that should govern today's mechanical men, or "Electronic Persons" – the legal status that the EU will give them later this year. But life, law and technology is more complicated than that. Part of the Three Laws appeal is that they are so simple, and people like simple. For anyone who's ever watched a film like the Terminator series most of us know that there are some dangers associated with the path that society is racing down – whether that's because we're busy creating robots in our own image, or creating new intelligent machines that one day soon will exceed human intelligence.

In all likelihood, 3-D printing will forever remain a niche thing. But if you or your kid happen to reside in that niche, making your own stuff has become crazy accessible. Much of the reason is software: Microsoft's Paint 3-D app in the upcoming Windows 10 Creators Update makes designing 3-D objects super simple, and kids can even print out their own Minecraft creations. But the hardware is following suit, as 3-D printers are now much cheaper and easier to use. For less than $300, you can now buy a capable and beginner-friendly 3-D printer.

A Recommender System predicts the likelihood that a user would prefer an item. Based on previous user interaction with the data source that the system takes the information from (besides the data from other users, or historical trends), the system is capable of recommending an item to a user. Think about the fact that Amazon recommends you books that they think you could like; Amazon might be making effective use of a Recommender System behind the curtains. This simple definition, allows us to think in a diverse set of applications where Recommender Systems might be useful. Applications such as documents, movies, music, romantic partners, or who to follow on Twitter, are pervasive and widely known in the world of Information Retrieval.

TJBot is open source and we'd love to see what you can make with it. It comes with an initial set of recipes (step-by-step instructions) to help you connect your TJBot to Watson cognitive services and bring him to life. The recipes are based on Raspberry Pi. Use one of the starter recipes or create your own. If you have created your own recipe, we would love to include it as a featured recipe!

You are parent and wish to teach your 8 year old boy how to play violin? But does this have anything to do with artificial intelligence (AI)? Recent scientific experiments have shown that very young babies -- as young as 9-month old -- that learn music can significantly improve many of their cognitive functions, such as their future language acquisition. Children who learn how to play music young get both better verbal and language learning skills than the ones who don't, because they gain enhanced sound representation abilities and modify their brain connectivity. For adults, learning language is a great example.

Artificial intelligence is the future of computer science and technology. Its impact will be almost immeasurable. The field is wide open today, with so much to learn, and so many ways to contribute. We have collaborated with industry leaders to bring you cutting-edge curriculum covering topics such as search and optimization; logic, reasoning, and planning; building models of probability; natural language processing; computer vision, and much more. You'll master skills and tools used by the most innovative AI teams across the globe as you delve into specializations, and gain experience solving real-world challenges.

Exari, the leading provider of enterprise contract management software, announced today that together with IACCM it will host a live and complimentary webinar titled "An Artificial Intelligence Survival Guide for Contracts Professionals," on Tuesday February 28, from 11:00AM to 12:00PM Eastern Standard Time. The webinar will offer expert advice from Jamie Wodetzki, Co-Founder and Chief Product Officer at Exari and Tim Cummins, CEO of IACCM. Interested professionals can register for the webinar here. "We are in a golden age of machine learning," said Jamie Wodetzki. "Artificial Intelligence (AI) is transforming our daily lives and our professional careers. AI has entered into the contract management space and is already giving us new and different ways to explore key facets of contract documents."