I keep hearing Data Scientists say that'Statistics is Dead', and they even have big debates about it attended by the good and great of Data Science. Interestingly, there seem to be very few actual statisticians at these debates. So why do Data Scientists think that stats is dead? Where does the notion that there is no longer any need for statistical analysis come from? Is statistics dead or is it just pining for the fjords?

Volvo's self-driving car is unable to detect kangaroos because hopping confounds its systems, the Swedish carmaker says. The company's "Large Animal Detection system" can identify and avoid deer, elk and caribou, but early testing in Australia shows it cannot adjust to the kangaroo's unique method of movement. The managing director of Volvo Australia, Kevin McCann, said the discovery was part of the development and testing of driverless technology, and wouldn't pose problems by the time Volvo's driverless cars would be available in 2020. "Any company that would be working on the autonomous car concept would be having to do the same developmental work," he said. "We brought our engineers into Australia to begin the exercise of gathering the data of how the animals can move and behave so the computers can understand it more."

Earlier this week, David Kenny, IBM Senior Vice President for Watson and Cloud, told the US Congress that Americans have nothing to fear from artificial intelligence, and that the prospects of technological unemployment and the rise of an "AI overlord" are pernicious myths. The remarks were as self-serving as they were reckless, revealing the startling degree to which IBM is willing to forfeit the future for the sake of the present. Congressman John Delaney (MD-6) recently launched the Artificial Intelligence (AI) Caucus for the 115th Congress, the purpose of which is to "inform policymakers of the technological, economic and social impacts of advances in AI and to ensure that rapid innovation in AI and related fields benefits Americans as fully as possible." The caucus, which is being co-chaired by Congressman Pete Olson (TX-22), recently had tete-a-tetes with Amazon and Google. Now, it's had an opportunity to hear what IBM--the tech firm responsible Watson, an overhyped cognitive computing that made a name for itself by defeating the world's greatest Jeopardy champions--has to say.

JP Morgan has a program that relies on artificial intelligence and that can save lawyers 360,000 hours every year (1). Artificial Intelligence (AI) is defined as "a branch of computer science dealing with the simulation of intelligent behavior in computers" and "the capability of a machine to imitate intelligent human behavior" (2). Artificial intelligence programs or robots were created to react like humans. They learn from what we feed them. The program used by JP Morgan is called COIN (short for Contract Intelligence) and it does what its name suggests: read and interpret contracts, more specifically commercial-loan agreements.

Algorithm selection is of increasing practical relevance in a variety of applications. The interested reader is referred to a recent survey for more information (Kotthoff 2014). All submissions were required to provide the full source code, with instructions on how to run the system. In alphabetical order, the submitted systems were ASAP kNN, ASAP RF, autofolio, flexfolio-schedules, sunny, sunny-presolv, zilla, and zillafolio. The overall winner of the ICON challenge was zilla, based on the prominent SATzilla (Xu et al. 2008) system.

In recent years, AI-based applications have increasingly been used in real-world domains. For example, game theory-based decision aids have been successfully deployed in various security settings to protect ports, airports, and wildlife. This article describes our unique problem-to-project educational approach that used games rooted in real-world issues to teach AI concepts to diverse audiences. Specifically, our educational program began by presenting real-world security issues, and progressively introduced complex AI concepts using lectures, interactive exercises, and ultimately hands-on games to promote learning. We describe our experience in applying this approach to several audiences, including students of an urban public high school, university undergraduates, and security domain experts who protect wildlife. We evaluated our approach based on results from the games and participant surveys.

The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course.

In fall 2014, we launched a foundational course in artificial intelligence (CS7637: Knowledge-Based AI) as part of the Georgia Institute of Technology's Online Master of Science in Computer Science program. We incorporated principles and practices from the cognitive and learning sciences into the development of the online AI course. We also integrated AI techniques into the instruction of the course, including embedding 100 highly focused intelligent tutoring agents in the video lessons. By now, more than 2000 students have taken the course. Evaluations have indicated that OMSCS students enjoy the course compared to traditional courses, and more importantly, that online students have matched residential students' performance on the same assessments. In this article, we present the design, delivery, and evaluation of the course, focusing on the use of AI for teaching AI. We also discuss lessons we learned for scaling the teaching and learning of AI.

Colorization of grayscale images has been a hot topic in computer vision. Previous research mainly focuses on producing a colored image to match the original one. However, since many colors share the same gray value, an input grayscale image could be diversely colored while maintaining its reality. In this paper, we design a novel solution for unsupervised diverse colorization. Specifically, we leverage conditional generative adversarial networks to model the distribution of real-world item colors, in which we develop a fully convolutional generator with multi-layer noise to enhance diversity, with multi-layer condition concatenation to maintain reality, and with stride 1 to keep spatial information. With such a novel network architecture, the model yields highly competitive performance on the open LSUN bedroom dataset. The Turing test of 80 humans further indicates our generated color schemes are highly convincible.

Hackers can steal passwords and PINs by analysing your brainwave signals, a new study has found. Researchers from the University of Alabama at Birmingham and the University of California Riverside collected data from electroencephalography (EEG) headsets, which sense the electrical activity inside a person's brain. They're growing increasingly popular amongst gamers, who can use them to control characters using their brain signals. Crucially, however, EEG headsets also monitor your brainwaves when you're not playing. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.