3 Types of Commonly used Algorithms for any Data Problem

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Machine learning algorithms is one of the hot topic in today' s world. We are started our journey from Mainframe computers to PC and now in CLOUD computing. The definition says: Machine learning is a sub field of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence. In 1959, Arthur Samuel defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed" Supervised learning: This algorithm consist of a target / outcome variable (or dependent variable) which is to be predicted from a given set of predictors (independent variables). Un-supervised learning: In this algorithm, we do not have any target or outcome variable to predict / estimate.


Elon Musk's 1 billion nonprofit wants to build a robot to do housework

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Elon Musk has built cars and rockets. OpenAI - the artificial-intelligence research nonprofit cochaired by Tesla Motors CEO Musk and Y Combinator President Sam Altman - wants to build a robot for your home. Building a robot, OpenAI's leadership explains in a blog entry on Monday, is a good way to test and refine a machine's ability to learn how to perform common tasks. By "build," the company means taking a current off-the-shelf robot and customizing it to do housework. "More generally, robotics is a good test bed for many challenges in AI," reads the blog entry.


Talk to me, human! - colorfy

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Seasoned travellers know how it happens--just one cancelled flight and you're done. If it's not a simple "there and back" journey, only one change in your schedule is capable of making all other flights, hotel bookings, and business meetings fall like dominoes. It can be a real bummer, unless you're Tony Stark with Pepper Potts as your secretary. Well, I'm not Iron Man, but for a few weeks, I've been something even better--a Mission Control user. So this time, when my flight was cancelled, it hardly left a ripple in my travel routine.


H Weekly -- Issue #55 -- H Weekly

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This rather long read article from Nautilus does a great job on showing the current landscape of a quite new type of medical research aimed at curing aging and eventually curing death. It feels like the technology is almost here. The big players are getting interested in the research as they get older. The hype is getting real. Augmented humans that combine technology and biology, including apps for the brain and hard drives wired straight into people's veins are just around the corner, according to a business software company.


3D #Brain On A Chip #neuroscience #AI #tech #science Limitless learning Universe

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The announcement Monday is a new milestone for Chinese supercomputer development and a further erosion of past U.S. dominance of the field. Last year's Chinese winner in the TOP500 ranking maintained by researchers in the United States and Germany slipped to No. 2, followed by a computer at the U.S. government's Oak Ridge National Laboratory in Tennessee. Also this year, China displaced the United States for the first time as the country with the most supercomputers in the top 500. China had 167 systems and the United States had 165. Japan was a distant No. 3 with 29 systems.


This Week's Awesome Stories From Around the Web (Through June 25th)

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ARTIFICIAL INTELLIGENCE: Forget Doomsday AI--Google Is Worried About Housekeeping Bots Gone Bad Cade Metz Fast Company "Machines can't make the hard calls themselves yet, because they don't understand morality. But Ken Forbus, an AI researcher at Northwestern, is trying to fix that. Using a "Structure Mapping Engine," he and his colleagues are feeding simple stories--morality plays--into machines in the hope that they will grasp the implicit moral lessons. It'd be a kind of synthetic conscience." As the vehicle approaches a child runs out to retrieve the ball.


3 ways AI and robotics will transform healthcare

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But the impact on healthcare will also be dramatic. We've heard a lot about connected medical devices that are creating a digital health revolution and putting medical care in the hands of consumers. Two examples are Cellscope's digital otoscope and the AliveCor Kardia, both consumer-friendly products that add sensors to a smartphone so consumers can monitor ear infections or atrial fibrillation respectively. And for you Star Trek fans, the Qualcomm Tricorder xPrize, a global 10 million prize, when completed, will give consumers important diagnostic information on 15 or so conditions from strep throat to diabetes.


10 Chatbot Best Practices

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How do you make customer service effortless, fast and efficient? As a company whose mission is to provide the best possible self-service, we understand the good, the bad and where the industry is going. And we've also seen that most customers will self-serve over talk to an agent. Even Dave Pell avoids agents. But the customer service world is changing and now the hype is that Chatbots will be the self-service Holy Grail.


5 Startups Building Artificial Intelligence Chips - Nanalyze

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The first thing we asked when we were turned on to this niche was, what's an artificial intelligence chip? It's best to first think about what artificial intelligence software requires which is a great deal of processing speed, then a great deal of power in order to feed that processing speed. However, it's not just speed and low power that matter, it's also the way the processor functions. This excerpt from MIT Technology review explains why we can't just use a high-end Intel processor chip for artificial intelligence: While a top-of-the-line Intel processor packs more than enough punch to run sprawling financial spreadsheets or corporate operations software, chips optimized for deep learning break particular types of problems--such as understanding voice commands or recognizing images--into millions of bite-size chunks. Because GPUs like Nvidia's consist of thousands of tiny processor cores crammed together on one slice of silicon, they can handle thousands of these chunks simultaneously.


An MIT Algorithm Predicts the Future by Watching TV

WIRED

The next time you catch your robot watching sitcoms, don't assume it's slacking off. It may be hard at work. TV shows and video clips can help artificially intelligent systems learn about and anticipate human interactions, according to MIT's Computer Science and Artificial Intelligence Laboratory. Researchers created an algorithm that analyzes video, then uses what it learns to predict how humans will behave. Six-hundred hours of clips from shows like The Office and Big Bang Theory let the AI learned to identify high-fives, handshakes, hugs, and kisses.