It's a question you might never have considered before – why do older siblings do better on IQ tests than their younger counterparts? But if you want to get into Oxford's experimental psychology program, you'd better be prepared to answer. The university has released a series of questions from tutors who conduct the infamous interviews, revealing the complex problems in everything from mathematics to medicine used to spot the sharpest candidates. Oxford has released a series of questions from tutors who conduct the infamous interviews, revealing the complex problems in everything from mathematics to medicine used to spot the sharpest candidates. Oxford has revealed five interview questions spanning Modern Languages, Medicine, Philosophy, Maths, and Experimental Psychology.

DL-Learner is a framework containing algorithms for supervised machine learning in RDF and OWL. DL-Learner can use various RDF and OWL serialization formats as well as SPARQL endpoints as input, can connect to most popular OWL reasoners and is easily and flexibly configurable. It extends concepts of Inductive Logic Programming and Relational Learning to the Semantic Web in order to allow powerful data analysis. DL-Learner is used for data analysis tasks within other tools such as ORE and RDFUnit. Technically, it uses refinement operator based, pattern-based and evolutionary techniques for learning on structured data. It also offers a plugin for Protégé, which can give suggestions for axioms to add.

Bioelectronics has recently hit the headlines as Google has teamed up with GlaxoSmithKline, mixing chemistry and biology to develop implantable electronic devices that can help treat chronic diseases. The whole area of Artificial Intelligence (AI) is developing at a rapid pace but is still often built around auto-bot style tools, which provide an intelligent question and answer interaction. However, what happens when you have more complex business processes that require more than a simple'yes' or'no' response? Most information and content repositories, and their subsequent business process flows, are based on modelling years of experience to provide semi-automated and compliant business processes. They enable organisations to adhere to standards and operate as efficiently as possible, or so it would seem.

When it comes to self-driving cars, the public tends to focus on developments for private vehicles for individuals, but there are also some significant advances underway in other categories such as shuttle busses. In the latest piece of news, Navya, a startup out of France that makes driverless shuttles, has raised 34 million ( 30 million) in funding to build out its team, technology and sales. The funding is coming from two strategic backers, public transportation provider Keolis and automotive parts group Valeo, along with Qatari investors Group8. Navya is not disclosing its valuation but one report from Funderbeam estimates it at 222 million after this round. Navya prior to this round had raised 4.5 million ( 4.1 million) from French investors Gravitation, CapDecisif, and Robolution Capital (an investment fund focused only on robotics investments).

The recent progress in Artificial Intelligence and Machine Learning makes questions about the ethics of AI more pressing than ever. Most tech companies and their employees want to do good in the world. We all have an image of our better selves or "at our best." We also want to avoid the risks that come with the increasing public scrutiny of ethical lapses. The main idea behind Humans & Machines Ethics Canvas is to have a blueprint from ideation to successful completion of the project for individual, teams and organisations.

When a sleepy Marc Dubois walked into the cockpit of his own aeroplane, he was confronted with a scene of confusion. The plane was shaking so violently that it was hard to read the instruments. An alarm was alternating between a chirruping trill and an automated voice: "STALL STALL STALL." His junior co-pilots were at the controls. In a calm tone, Captain Dubois asked: "What's happening?" Co-pilot David Robert's answer was less calm. "We completely lost control of the aeroplane, and we don't understand anything! The crew were, in fact, in control of the aeroplane. One simple course of action could have ended the crisis they were facing, and they had not tried it. But David Robert was right on one count: he didn't understand what was happening. As William Langewiesche, a writer and professional pilot, described in an article for Vanity Fair in October 2014, Air France Flight 447 had begun straightforwardly enough – an on-time take-off from Rio de Janeiro at 7.29pm on 31 May 2009, bound ...

Are you ready for this secret about the efficient education with AI? Different education changes influence on schools: most students bring their own devices into the lessons, coding has been added to the curriculum. A virtual teaching assistant will help to deliver knowledge in the classroom. Artificial intelligence can make a significant difference in education with robots and apps that may simplify and upgrade the process. New digital tools allow learners to use resources anywhere and anytime. AI and bots will not eliminate human teachers but they will support their work.

In the beginning, the whole coding scene consisted of one woman. In the 1800s, the story goes, an aristocrat named Ada Lovelace was studying maths with inventor Charles Babbage, who had built a machine that could perform calculations – what we'd call a computer. Lovelace came up with a series of commands for the machine: the first computer program. Now, in celebration of this, the second Tuesday of every October is Ada Lovelace Day. It's not surprising that this has spiralled to become the most symbolic day for women working in science, maths and engineering, with Lovelace a figurehead for ongoing attempts to close a worrying gender gap in those fields.

The World Economic Forum has made an important discovery: San Francisco is a major center for discussing innovation, policy, and the future of civil society. On Monday, the venerable international organization announced the opening of its third office outside its Geneva headquarters, after New York and Beijing. Dubbed the Center for the Fourth Industrial Revolution in San Francisco, the new office takes its name from the current big-think thesis of WEF's founder, German business theorist Klaus Schwab. As Alan Murray explained earlier this year, Schwab's first three revolutions featured steam power, electricity, and computers; the new one involves sensors and artificial intelligence. WEF is famous for its snowy annual thinkfest in Davos, Switzerland, where global leaders and other opinionated folks come together to discuss the state of the world.

In his 2003 book, Being No One, Thomas Metzinger contends there is no such thing as a "self." Rather, the self is a kind of transparent information-processing system. "You don't see it," he writes. "But you see with it." Metzinger has given a good amount of thought to the nature of our subjective experience--and how best to study it.