Norwegian authorities have violated the human rights of mass killer Anders Behring Breivik by holding him in solitary confinement in a three-cell complex where he can play video games, watch TV and exercise, a court in Oslo ruled Wednesday. In the surprise decision, the Oslo district court said the isolation that Breivik faces in prison for killing 77 people in a bomb-and-gun massacre in 2011 is in breach of the European Convention on Human Rights. "The prohibition of inhuman and degrading treatment represents a fundamental value in a democratic society," the court said. "This applies no matter what -- also in the treatment of terrorists and killers." The court ordered the government to pay Breivik's legal costs of 331,000 kroner, about 41,000.

This post contains my answers from a Quora session I did on machine learning and artificial intelligence. Each section contains a link to the original Quora question, the overall session can be found here. Think carefully about what you actually want to achieve with it. Most fall into the latter camp, but it seems everyone fancies themselves as containing a bit of the former (particularly if they think they're going to solve AI). To do the former well, in the international community, requires really good foundations (particularly in mathematics) followed by a PhD with a supervisor who has experience of how that community works. Doing the second well is much easier from the perspective of learning machine learning. A data generator would often be a scientist or company that is working in a particular application and wants answers. They need access to machine learning researchers or statisticians to give advice on how to answer those questions. They should try and collaborate with experts in data analytics and data science, but they should be careful, there is a lot of hype around the term'big data' at the moment. It's a difficult area to navigate. Data generators typically need an interface to consume machine learning (or statistics) effectively, if this interface is poorly chosen a lot of wasted resource can result (things get very expensive very quickly for a lot of data generators!). A data consumer is where the largest demand is right at the moment, and should probably be the starting point for someone who wants to move in the right direction. An MSc in Data Science would be a good starting point. You can also use this experience to see if you want to transit into a machine learning generator (that's basically what happened to me). What are you passionate about? That is the route in to any subject. Is it a particular approach to learning or a particular application?

This article could involve spoilers, if you believe an algorithm can accurately predict who will be killed off in the Game of Thrones. Of course if you were to believe the Game of Thrones season 6 poster and trailers, then it looks like all the big players are dead and in the Hall of Faces. After being curious enough to check out the algorithm's predictions, I thought, No! Say it isn't so! The first thing I saw was that Daenerys Targaryen, Mother of Dragons, "got a pair of cement shoes." Clicking through though, shows a page explaining why she might win the Game of Thrones and sit on the Iron Throne.

Fredkin University Professor of Artificial Intelligence and Machine Learning Tom Mitchell has been elected to the American Academy of Arts and Sciences. Tom Mitchell, the Fredkin University Professor of Artificial Intelligence and Machine Learning at Carnegie Mellon University, has been elected to the American Academy of Arts and Sciences (AAAS), joining the world's most accomplished scholars, scientists, writers, artists and civic leaders. Mitchell founded the world's first Machine Learning Department at CMU's School of Computer Science in 2006 and led the department until earlier this year. His research focuses on statistical learning algorithms for understanding natural language text and on understanding how the human brain represents information. His work has been featured in The New York Times and on CBS's "60 Minutes."

A new center to study the implications of artificial intelligence and try to influence its ethical development has been established at the U.K.'s Cambridge University, the latest sign that concerns are rising about AI's impact on everything from loss of jobs to humanity's very existence. The Leverhulme Trust, a non-profit foundation that awards grants for academic research in the U.K., on Thursday announced a grant of 10 million ( 15 million) over ten years to the university to establish the Leverhulme Centre for the Future of Intelligence. The new facility will be directed by Professor Huw Price, the university's Bertrand Russell Professor of Philosophy. Others on the team include political scientists, lawyers, psychologists and technologists, said Prof. Gordon Marshall, the director of the Leverhulme Trust. The Trust sprang out of a company that now is part of Unilever.

It was a weeknight, after dinner, and the baby was in bed. My wife and I were alone--we thought--discussing the sorts of things you might discuss with your spouse and no one else. I was midsentence when, without warning, another woman's voice piped in from the next room. "I HELD THE DOOR OPEN FOR A CLOWN THE OTHER DAY," the woman said in a loud, slow monotone. It took us a moment to realize that her voice was emanating from the black speaker on the kitchen table. We stared slack-jawed as she--it--continued: "I THOUGHT IT WAS A NICE JESTER." Was that," I said after a moment of stunned silence. Alexa, the voice assistant whose digital spirit animates the Amazon Echo, did not reply. She--it--responds only when called by name. Or so we had believed. We pieced together what must have transpired. Somehow, Alexa's speech recognition software had mistakenly picked the word Alexa out of something we said, then chosen a phrase like "tell me a joke" as its best approximation of whatever words ...

In this special guest feature, Vasco Pedro, CEO and Co-Founder of Unbabel, discusses the importance of machine translation for natural languages and how it currently lacks the quality companies demand for their content. Dr. Pedro' company is Unbabel, the Y Combinator-backed startup that combines crowdsourced human translation and machine learning to deliver fast translation services to businesses with human tone and nuance. Vasco previously worked for Google helping to develop technology for data computation and language at scale, and served as a research faculty member at the Technical University of Lisbon. Vasco holds a PhD in Language Technologies from Carnegie Mellon University in the field of computational semantics. Additionally, Vasco is a Fulbright Scholar, mentor, and advisor to a number of startups on top of being a serial entrepreneur.

A team of scientists at the California NanoSystems Institute at UCLA recently developed a new technique using artificial intelligence to efficiently detect cancer cells without damaging blood samples. Despite the latest reports claiming the development of artificial intelligence (AI) could end humanity within decades, it recently proved its use in cancer diagnosis. University of California Los Angeles researchers found a new method of detecting cancer cells faster and more accurately without destroying them. In the study published in the journal Nature Scientific Reports, scientists at the California NanoSystems Institute at UCLA revealed they've developed a new device that combines a special microscope with an artificial intelligence algorithm. This innovation aimed to identify cancer non-destructively, Popular Science notes.

The terminators from Skynet, the agents of the Matrix, the Decepticons…Hollywood has done a good job portraying artificial intelligence (AI) as an existential threat to the human race. The scary thing is that this idea may not be purely science fiction. In fact, many leading technologists today seem to share the concern that at some point in the not-too-distant future, human kind could be beholden to super-intelligent computer overlords. That is a scary thing to think about, and even if the worse does not come to pass, AI will certainly impact everyone's life in some form or another. So let's look at some history of AI, its current state, and potential risks and possible outcomes.

Everyone's favorite paranoid hacker dreamboat returns to type furiously and maybe destroy capitalism in season two of Mr. Robot, premiering on USA July 13. The show follows Elliot Alderson (Rami Malek), a genius hacker who gets roped into an underground society of digital anarchists, "F-Society," led by a shady fellow named Mr. Robot (Christian Slater).