Reddit has stopped working completely. Visitors to the site see a message reading "our CDN was unable to reach our servers," accompanied by a picture of a sad alien. The outage comes just hours after a huge issue that took the site down completely and forced Reddit to promise to fix the problem publicly. 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.

AI research group DeepMind created the new tech that is able to spot key signs of eye disease just as well as the world's top doctors. Facebook is working with the NYU School of Medicine to shorten the length of time patients must spend in MRI scanners. Facebook's Artificial Intelligence Research (FAIR) group and the medical school's radiology department are investigating whether artificial intelligence can make magnetic resonance imaging scans up to 10 times faster. Such a development would not only reduce patient discomfort – scans can last 15 minutes to an hour – but also free up MRIs for more patients. "If this effort is successful, it will make MRI technology available to more people, expanding access to this key diagnostic tool," the research team says in a blog post on the Facebook website.

By the end of 2017, some 61% of businesses had implemented artificial intelligence (AI) into their organizations--a 23% jump from the previous year, according to Narrative Science. And the incorporation of AI into business will only rise: The number of medium and large enterprises using machine learning is predicted to double by the end of 2018, said Deloitte. Machine learning is a form of AI that interprets massive amounts of data, applying algorithms to the material, and making predictions off its observations. Common technologies that employ machine learning include facial recognition, speech recognition, translation services, and object recognition. Major companies like Amazon, IBM, Google, and Microsoft use machine learning to improve business functionality.

Artificial intelligence (AI) has come a long way since Deep Blue beat chess grandmaster Garry Kasparov at his own game in 1997. Today's AIs have moved on from chess to conquer other games such as Go and Shogi. Fantastical tales of AI abound, but their biggest impact on our daily lives is less explicit. Machine learning algorithms have revolutionized the way businesses and organizations use big data. From Netflix predicting content for your next media binge to Amazon suggesting new products for your shopping cart, machine learning algorithms can process large volumes of unstructured data into valuable insights, predictions, decisions, and services.

Facebook wants to revolutionise MRI (magnetic resonance imaging) scans. The social networking giant announced on Monday a new research project that aims to use artificial intelligence (AI) to make MRI scans up to ten times faster, and has been granted access to a trove of around 3 million anonymised MRI images from 10,000 clinical cases. In an announcement blog post, Facebook said the data it has accessed has had patient names removed, as well as "all other protected health information," and the project is compliant with HIPAA privacy regulations. The project is a collaboration between Facebook's FAIR AI research lab and NYU School of Medicine's Department of Radiology. The efforts are a major foray by Facebook into into the medical space, as it attempts to apply its experimental AI research efforts to real-world problems.

Why didn't they make the leap? Did they think the assembly line was too complex, too expensive or a fad? It was probably a mix of these reasons coupled with a lack of grit. Change is hard...but failure sucks. The biggest companies in the world are today at the same inflection point as manufacturers in the early 20th century.

A McKinsey & Co. study released earlier this year predicted that the engineering and construction sector will be slow to embrace artificial intelligence (AI), but despite this slow adoption, presenters during a webinar hosted by Engineering News-Record said it can help E&C companies expedite early processes, create the best plans for projects and identify if a project is starting to go awry. Rob Otani, chief technology officer at structural engineering consulting firm Thornton Tomasetti Inc., explained that AI is already all around us -- for example, look at Gmail's suggested replies, which are inputted automatically without the users' involvement as part of a pattern-learning algorithm meant to save the user time. The key is finding where to leverage AI in professional capacities, Otani said. When designing structures, for example, AI can automate mundane and repetitive tasks, thereby allowing engineers to spend more time creatively solving problems, he continued. AI's ability to process and analyze millions of data points also means it can understand patterns and even detect ones a human can't, he added.

Building intelligent and engaging enemies to fight against in video games presents something of a conundrum for game developers. In one sense, you are hoping to instil some evidence of strategy and reaction such that the player feels more engaged in each skirmish. Despite this, these non-player characters (NPCs) are typically built with the aim that we shoot and kill them within very small periods of time. As such, there is a need to present whatever intelligent faculties these characters have within a very limited time-frame. In this piece, we look at some of the challenges and solutions of the AI developers at Bungie during their time as custodians of the Halo franchise.

In our quest to understand and replicate the cognitive capabilities of the human brain, the AI discipline has focused on the subject of learning rather unevenly. Regardless of the non-scientific reasons, I felt compelled to raise awareness of the most important 3 components of learning mainly distinguished by the "time" factor. Without taking into account all 3 forms of learning, it is unlikely to achieve ambitious goals in AI regardless of how much computing power, or data collection is available to us. When a wildebeest calf is born, it takes only a few minutes for her to run fast enough to escape from predators. It is obvious, evolution has hard-wired some of its learning in the blue print of a new born calf in terms of motor skills.

Is this article written by a bot? In a few years, it might be hard to say one way or another. Artificial intelligence is being applied to many different industries, and the areas of news and journalism are certainly no exception. In fact, automated journalism is already helping create news articles and enhance storytelling. The Washington Post reported last year that its own AI bot, known as Heliograf, published 850 stories entirely autonomously, primarily reporting on sports and the outcomes of regional political races.