Virtual Reality (VR) is increasingly being recognized for its educational potential and as an effective way to convey new knowledge to people, it supports interactive and collaborative activities. Affordable VR powered by mobile technologies is opening a new world of opportunities that can transform the ways in which we learn and engage with others. This paper reports our study regarding the application of VR in stimulating interdisciplinary communication. It investigates the promises of VR in interdisciplinary education and research. The main contributions of this study are (i) literature review of theories of learning underlying the justification of the use of VR systems in education, (ii) taxonomy of the various types and implementations of VR systems and their application in supporting education and research (iii) evaluation of educational applications of VR from a broad range of disciplines, (iv) investigation of how the learning process and learning outcomes are affected by VR systems, and (v) comparative analysis of VR and traditional methods of teaching in terms of quality of learning. This study seeks to inspire and inform interdisciplinary researchers and learners about the ways in which VR might support them and also VR software developers to push the limits of their craft.

Tens of thousands of college students nationwide will cheer for their football teams this weekend. Some of those who show up for the game after tailgate drinking may not remember the highlight touchdowns that they cheered so loudly for. Others may have trouble remembering even a rousing celebration of victory. Binge drinking, the leading type of alcohol misuse for college students, is the culprit. Drinking too much too fast can cause memory loss, sometimes called a blackout, erasing any recollection of an enjoyable life event.

For those outside the fold, the Rubik's cube is cognitive kryptonite. Until this week, I'd certainly never solved one. Even now, saying that I solved a Rubik's cube feels like a grievous overstatement of my accomplishments. The truth is that we--a patient pre-teen "cuber" whose solve time is 47 seconds, her slightly-less-patient middle school teacher (whose solve time, she's embarrassed to admit, is closer to a minute and a half), and me--completed a cube together. The site of my public humiliation could not have been more incongruous with the task at hand.

Join me as I teach this free 10-week reinforcement learning course I've called Move 37. I'll take you on a journey through the basics up to modern day techniques. Every week, we'll build apps together that will cover both toy and industry problems. You'll be able to measure your progress along the way by chatting with your peers both online and offline at the School of AI chapters globally, taking quizzes, coding challenges, and 2 graded projects. I'll have weekly coding live streams to help answer any questions, and my assistant instructors will be available to help in our community slack channel. Students who successfully complete the course will receive their own certificate signed by Siraj Raval.

Artificial intelligence promises an even bigger revolution than the internet yet could be stifled in the UK by a fear-driven public backlash, according to a leading scientist and broadcaster. Prof Jim Al-Khalili, a physicist and the incoming president of the British Science Association, warns that without greater transparency and public engagement the full potential of AI may not be realised. In the absence of concerted action by academics, the government and industry, the rapidly advancing technology could end up "uncontrolled and unregulated" in the hands of a few supremely powerful companies, he says. Previewing his presidential address at this year's British Science festival in Hull, which begins next week, Khalili spoke of the dream and dangers of AI. He said the UK was at the forefront of the technology, which is predicted to contribute up to $15tn (£11.7tn) to the global economy by 2030.

Using AI to create better, faster, more accurate content is already a reality. The Associated Press reports that it has gone from publishing 300 earnings reports a quarter to 3,000 thanks to the help of AI systems. Meanwhile, in 2016, The Washington Post published high school sports stories, Olympics, and election coverage that once again machines had written. Clearly, the future is already here. If you have any kind of data-driven content, you need to get on board right now.

The University of New England is launching an undergraduate degree program in data science on its Biddeford campus to open up more job opportunities for graduates. Michael Arciero, associate professor and chair of UNE's mathematical sciences department, said that project-based experiential learning through partnerships with employers will be an important part of the program. He noted that partnerships with companies such as UNUM Group, a Fortune 500 insurer, and healthcare IT provider Cotiviti Holdings Inc., have already begun to create pathways to permanent employees for recent UNE math sciences graduates. Data science involves the use of mathematical modeling and computing to analyze data and to design systems for making predictions, extracting information and decision-making. Beginning with foundational skills in math and computing, students will develop techniques in data mining, statistical and machine learning, predictive modeling and data visualization.

Teaching anyone about "fairness" is a laudable goal. As humans, we may not necessarily agree on what's fair. It sometimes depends on the context. Teaching kids to be fair -- both at home and in school -- is fundamental, but it's easier said than done. With this in mind, how can we, as a society, communicate the nuances of "being fair" to artificial intelligence (AI) systems?

"TensorFlow is by far the most popular tool among our respondents, with Keras in second place, and PyTorch in third. Other frameworks like MXNet, CNTK, and BigDL have growing audiences as well" As if businesses today didn't already have enough to worry about, then along comes a new wave of game-changing technologies that they must master quickly if they are not to fall behind their competitors, with pressure mounting to start using AI. . Artificial Intelligence is the most visible of these technologies – and arguably the most important. Open a newspaper, and it might seem as if every business is making great strides towards developing and using AI applications that will transform their operations and enable them to deliver new products and services to their customers. It's easy for businesses yet to achieve success by using AI – or even to get started on their journey – to get despondent about the lead they perceive their competitors to have.

The science-fiction writer Robert Heinlein once wrote, "Each generation thinks it invented sex." He was presumably referring to the pride each generation takes in defining its own sexual practices and ethics. But his comment hit the mark in another sense: Every generation has to reinvent sex because the previous generation did a lousy job of teaching it. In the United States, the conversations we have with our children about sex are often awkward, limited, and brimming with euphemism. At school, if kids are lucky enough to live in a state that allows it, they'll get something like 10 total hours of sex education.1