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Predicting Car Problems Before They Occur - DZone Big Data
A number of fascinating projects have emerged that aim to use AI to better understand the way vibrations can give us insight into the health (or not) of machinery. A recent paper from the University of Alabama in Huntsville describes a new algorithm that aims to provide a diagnostic function for the mechanical systems that form such a big part of our commercial engine. "The ability to extract dependable and actionable information from the vibration of machines will allow businesses to keep their assets running for longer while spending far less in maintenance. Also, the investment to get there will be just software," the researcher says. A number of companies are deploying this kind of approach in the real world, with German startup KONUX making headway in the railway industry.
Can Eagle-Eyed Artificial Intelligence Help Prevent Children From Going Blind?
In America, congenital cataracts--a clouding of the eye lens at birth that can lead to blindness--are vanishingly (and thankfully) uncommon. Like tooth decay or tetanus, better screening and technologies have led to earlier diagnoses, and the problem can largely be cured with surgery. But in developing countries, a lack of widespread expertise and resources mean that hundreds of thousands of children are now blind due to this treatable disease. "Missed or mistaken diagnoses, as well as inappropriate treatment decisions, are common among rare-disease patients and are contrary to the goals of precision medicine, especially in developing countries with large populations, such as China," write a group of Chinese researchers in a study published Monday in the journal Nature Biomedical Engineering. These researchers aim to fix that preventable treatment gap by using eagle-eyed AI.
Stephen Hawking and Elon Musk backed 23 principles to ensure humanity benefits from AI
Cosmologist Stephen Hawking and Tesla CEO Elon Musk endorsed a set of principles that have been established to ensure that self-thinking machines remain safe and act in humanity's best interests. Machines are getting more intelligent every year and researchers believe they could possess human levels of intelligence in the coming decades. Once they reach this point they could then start to improve themselves and create even more powerful software, according to Oxford philosopher Nick Bostrom and several others in the field. In 2014, Musk warned that artificial intelligence has the potential to be "more dangerous than nukes" while Hawking said in December 2014 that AI could end humanity. AI could also help to cure cancer and slow down global warming.
Natural language generation software turns data into plain English
Natural language generation, a field in artificial intelligence which automatically turns facts and statistics into coherent English and other languages, offers important advantages for finance and accounting, according to Robert Dale, a longtime expert in the technology. Gain a deeper understanding of how your business can benefit from IT and finance working cooperatively towards a unified goal. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent. By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Facebook scammers are copying users' names, profile pictures and statuses to steal their money
Facebook scammers are making carbon copies of legitimate profiles in order to trick users into revealing financial and personal details, in a tactic known as'cloning'. By creating a new account using the exact same name, personal information and profile and cover photos included on your own profile – even going as far as copying your statuses – they can do a convincing job of imitating you online. The scheme allows them to confidently approach your friends and family members, who could unknowingly accept a friend request from the clone account and eventually share private information with it, depending on how convincing their messages appear. 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. Japan's On-Art Corp's CEO Kazuya Kanemaru poses with his company's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' and other robots during a demonstration in Tokyo, Japan Japan's On-Art Corp's eight metre tall dinosaur-shaped mechanical suit robot'TRX03' performs during its unveiling in Tokyo, Japan Singulato Motors co-founder and CEO Shen Haiyin poses in his company's concept car Tigercar P0 at a workshop in Beijing, China A picture shows Singulato Motors' concept car Tigercar P0 at a workshop in Beijing, China Connected company president Shigeki Tomoyama addresses a press briefing as he elaborates on Toyota's "connected strategy" in Tokyo.
Inside Libratus, the Poker AI That Out-Bluffed the Best Humans
For almost three weeks, Dong Kim sat at a casino in Pittsburgh and played poker against a machine. Kim, 28, is among the best players in the world. The machine, built by two computer science researchers at Carnegie Mellon, is an artificially intelligent system that runs on a Pittsburg supercomputer. And for twenty straight days, they played no-limit Texas Hold'Em, an especially complex form of poker in which betting strategies play out over dozens of hands. About halfway through the competition, which ended this week, Kim started to feel like Libratus could see his cards.
Build a super fast deep learning machine for under $1,000
For more practical techniques for getting started with deep learning, check out the deep learning sessions at Strata Hadoop World San Jose, March 13-16, 2017. Yes, you can run TensorFlow on a $39 Raspberry Pi, and yes, you can run TensorFlow on a GPU powered EC2 node for about $1 per hour. And yes, those options probably make more practical sense than building your own computer. But if you're like me, you're dying to build your own fast deep learning machine. OK, a thousand bucks is way too much to spend on a DIY project, but once you have your machine set up, you can build hundreds of deep learning applications, from augmented robot brains to art projects (or at least, that's how I justify it to myself).
A.I. is Making Retail Smarter Too
"It's a funny thing," said Jay McCarthy, VP of product marketing for Qubit. "We're ironically using tech to be more human again. The London-based product suite, which executes on big data for B2C brands like Uniqlo, Thomas Cook, and Time Inc, is using machine learning algorithms to translate customer signals into the right product offerings. Qubit clients have "maybe millions of customer records, in some cases," says McCarthy. "The signal-to-noise ratio is quite low." Qubit's aim is to "find the needles in the haystack, and scale interactions with customers." What that means in practice is aggregating data from online and POS transactions -- "There's an overlap of brick and mortar," McCarthy say -- loyalty programs, CRM, product returns, and logistics -- to develop "a more holistic view of the customer; where they live on and offline." But this is no idle inquiry, of course. "So much of what you hear [from vendors]," McCarthy explains, "stops at the notion of'We'll give you something insightful from that.'
Face value
When the BBC broadcast the recent documentary by Louis Theroux that looked back at the time he spent in the company of Jimmy Savile, there was disbelief across social media that no one had stepped in to stop Savile from committing his crimes. Some blamed the BBC, some blamed those in Savile's immediate circle, but others blamed a simple error of human judgment. "He literally couldn't look more like a paedophile," read one post – one of many to state a supposedly incontrovertible truth: that Savile's criminal tendencies could have been detected from the shape of his features, his eyes, his hair. Moreover, this has nothing to do with the benefit of hindsight and should have been picked up at the time. His looks, they suggested, were a moral indicator, with a wealth of compelling visual evidence to support the claim. We know that paedophiles, murderers and other violent criminals come in many shapes and sizes.