According to Hollywood, we are all just one short step away from living in a world run by computers. Artificial intelligence (AI) is advancing rapidly into territory that was previously in the realm of science fiction. Some see this future as a welcome utopia while others live in fear of life with Terminator- or Matrix-style outcomes. No matter which outcome you believe is most likely, the truth probably lies somewhere in between. You see, the biggest problem with computers is also their greatest advantage – they are programmed by humans.

Like many parents in the United States, Rob Glaser has been thinking a lot lately about how to keep his kids from getting shot in school. Specifically, he's been thinking of what he can do that doesn't involve getting into a nasty and endless battle over what he calls "the g-word." It's not that Glaser opposes gun control. A steady Democratic donor, Glaser founded the online streaming giant RealNetworks back in the 1990s as a vehicle for broadcasting left-leaning political views. It's just that any conversation about curbing gun rights in America tends to lead more to gridlock and finger-pointing than it does to action.

The user uses the control panel (A) to specify the detail information to visualize (e.g., level of detail, rule filters). The rule-based explanatory representation is visualized as a matrix (B), where each row represents a rule, and each column is a feature used in the rules. The user can also filter the data or use a customized input in the data filter (C) and navigate the filtered dataset in the data table (D). Abstract--With the growing adoption of machine learning techniques, there is a surge of research interest towards making machine learning systems more transparent and interpretable. Various visualizations have been developed to help model developers understand, diagnose, and refine machine learning models. However, a large number of potential but neglected users are the domain experts with little knowledge of machine learning but are expected to work with machine learning systems. In this paper, we present an interactive visualization technique to help users with little ...

Dutch universities are seeing significant growth in the number of students who want to study artificial intelligence in the coming academic year. At some educational institutions, the number of applications doubled compared to the current academic year. Interest in related courses, like data science and business analytics, is also on the rise, NOS reports.

Spark Notes is a recurring series about the lightbulb moments in sexual development. My parents were both readers, and they didn't let us watch that much TV. By the time I was 11, books had been my primary source of entertainment for as far back as my memory could go. Getting my adult library card in sixth grade was, in that context, a milestone of tremendous importance, a first moment of awe at being inducted into the grown-up world. Wandering into the adult stacks for the first time, I remember seeing the name Asimov in the "A" section in huge letters across dozens of titles, and taking two or three of them down to check them out.

A foundation in statistics is required to be effective as a machine learning practitioner. The book "All of Statistics" was written specifically to provide a foundation in probability and statistics for computer science undergraduates that may have an interest in data mining and machine learning. As such, it is often recommended as a book to machine learning practitioners interested in expanding their understanding of statistics. In this post, you will discover the book "All of Statistics", the topics it covers, and a reading list intended for machine learning practitioners. All of Statistics for Machine Learning Photo by Chris Sorge, some rights reserved.

In collaboration with more than 20 national universities, iFlytek launched its "Brain Science and Education" program on Saturday. The program will focus on the study of cognitive development of children, in a bid to explore new methods for individual learning and teaching. The domestic intelligent voice recognition technology company will invest more than 2 billion yuan ($299.03 million) in the program over the next 10 years. "I believe the program will be of great significance to the development of China's cognitive science and education industry," Liu Qingfeng, iFlytek's chairman, said at the launch event for the program, which was held in Beijing on Saturday. Liu also introduced some major breakthroughs the company achieved in the past year that would be applied to the new program.

Imitation from observation (IfO) is the problem of learning directly from state-only demonstrations without having access to the demonstrator's actions. The lack of action information both distinguishes IfO from most of the literature in imitation learning, and also sets it apart as a method that may enable agents to learn from large set of previously inapplicable resources such as internet videos. In this paper, we propose both a general framework for IfO approaches and propose a new IfO approach based on generative adversarial networks called generative adversarial imitation from observation (GAIfO). We demonstrate that this approach performs comparably to classical imitation learning approaches (which have access to the demonstrator's actions) and significantly outperforms existing imitation from observation methods in high-dimensional simulation environments.

In the previous article, we talked about the nature of human fears in relation to artificial intelligence (AI). We also outlined two important themes to address in the upcoming challenges of the AI era: the societal, and decision-making aspects of AI systems. In our new article I expand on the theme of the impact on society, and I share our opinion on possible steps we should take to anticipate and adjust to it. McKinsey analysts estimate the automation potential for all economic sectors to be around 50%. This means that around half of all the activities people in the world's workforce are paid to do today could potentially be automated with currently available technologies.

Blackboard, chalks, textbooks and ink pens are slowly becoming a thing of a past. It is time to embrace technology where digital facilities coupled with tech-savvy teachers are enriching students' learning experiences. A little glimpse into the dynamic digital world is indicative of how technology has given a whole new meaning to education. Education with the help of technology has crossed borders and has opened up a world of opportunities for students. From easy sharing of information to collaboration with the help of email and cloud applications to instant access to learning programs anytime, anywhere -- here is how technology will alter the education sector in 2018.