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High Performance Computing Data Science Competitive Advantage

@machinelearnbot

High Performance Computing (HPC) plus data science allows public and private organizations get actionable, valuable intelligence from massive volumes of data and use predictive and prescriptive analytics to make better decisions and create game-changing strategies. The integration of computing resources, software, networking, data storage, information management, and data scientists using machine learning and algorithms is the secret sauce to achieving the fundamental goal of creating durable competitive advantage. HPC has evolved in the past decade to provide "supercomputing" capabilities at significantly lower costs. Modern HPC uses parallel processing techniques for solving complex computational problems. HPC technology focuses on developing parallel processing algorithms and systems by incorporating both administration and parallel computational techniques.


Watch a 1950s retro calculator asked to divide 0 by 0 have a mechanical meltdown

Daily Mail - Science & tech

It's not just us that can freak out when we can't solve a complex maths problem. The answer to'what is one divided by zero?' causes old-fashioned calculators to have a mechanical meltdown. A video shows a 1950s Facit ESA-01 pin-wheel calculator flicking through numbers in a vain attempt to solve the equation – and it's not known how long it perseveres with the problem. A similar maths question - 'what is zero divided by zero' brings up error messages on modern calculators, too, and causes the iPhone's Siri to turn into a bit of a comedian. The video, by YouTube user MultiGlizda gives an insight into the internal workings of the Swedish vintage calculator that can multiply a nine-digit number by an eight-digit number to give a 13-digit answer.


Spün counts calories in each bite and vibrates when you've had enough

Daily Mail - Science & tech

This smart cutlery could be a dieter's worst nightmare, or the weight loss tool you've been dreaming about. Spün claims to be the world's most intelligent utensil, using a combination of image recognition and motion sensing technology to measure food as users eat it. The device, which has an interchangeable stainless steel spoon or fork head, weighs each mouthful of food to calculate the calories and nutrients being eaten. Spün (pictured) claims to be the world's most intelligent utensil that is capable of tracking the calories and nutrients in each mouthful. The information is logged in a smartphone app, which can help dieters set goals and monitor their progress.


The robots that can WALK out of a 3D printer: Machines with solid and liquid parts only need to plugged in before scuttling away

Daily Mail - Science & tech

The machines are now making machines of their own, and there's no assembly required. Researchers in the US have developed 3D-printed robots containing solid and liquid parts which only need to be connected to a motor and power supply before they can scuttle off. By laying down all the components as it goes, the 3D printer can produce the robot's rigid support, flexible components and fluid filled channels as it builds up the layers. Researchers at MIT have developed a 3D printing technique for producing hydraulic components. The method makes it possible to print robots with hydraulic parts, simplifying the production process so even a novice can print their own robot. So far the team at Massachusetts Institute of Technology has printed a range of components, as well as a fully-printed six-legged bug-bot which can scuttle away on its rubbery limbs, and a soft gripper for picking up objects.


Are Robots Taking Our Jobs?

U.S. News

If you put water on the stove and heat it up, it will at first just get hotter and hotter. You may then conclude that heating water results only in hotter water. But at some point everything changes – the water starts to boil, turning from hot liquid into steam. Automation, driven by technological progress, has been increasing inexorably for the past several decades. Two schools of economic thinking have for many years been engaged in a debate about the potential effects of automation on jobs, employment and human activity: will new technology spawn mass unemployment, as the robots take jobs away from humans?


Study says people get turned on by touching a robot's privates

Engadget

The subjects in the team's 26 trial runs showed signs of arousal when Nao asked them to touch its intimate areas. They even touched those parts more quickly, as if they were uncomfortable doing so. However, Li told Mashable that "it isn't necessarily sexual arousal," not when the subjects reacted similarly when Nao asked them to touch its eye. They didn't get "turned on" when it asked them to touch its more accessible parts, like its hands. "One way I thought about it is, the robot is talking like a person, it looks like a person and has social cues like a person [gesturing, looking at the subjects]. It's as if the robot is a teaching figure and asking a person to touch them in each of these parts as a way to interact... there could have been some awkwardness."


NASA's Opportunity rover snaps photo of Martian dust devil

Christian Science Monitor | Science

A photo snapped by Opportunity Friday (April 1) shows the six-wheeled robot's tracks in the foreground and a Martian twister off in the distance, perhaps giving viewers the impression that the rover is in full retreat from a tornado. But Opportunity is not making a run for it. For one thing, the twister is a dust devil, not a true tornado of the type that can wreak havoc here on Earth. And with a top speed of just 0.1 mph (0.16 km/h) -- and a minimum 8-minute round-trip communication delay between Opportunity and its handlers -- fleeing is never really an option for the rover. So, the newly released image is just a nice, and fortuitously captured, tableau of the Red Planet's 14-mile-wide (22 km) Endeavour Crater.


Linear Discriminant Analysis for Machine Learning

#artificialintelligence

Logistic regression is a classification algorithm traditionally limited to only two-class classification problems. If you have more than two classes then Linear Discriminant Analysis is the preferred linear classification technique. In this post you will discover the Linear Discriminant Analysis (LDA) algorithm for classification predictive modeling problems. This post is intended for developers interested in applied machine learning, how the models work and how to use them well. As such no background in statistics or linear algebra is required, although it does help if you know about the mean and variance of a distribution.


Resources Singularities Singularities

#artificialintelligence

Description: This paper presents some interesting research results on the knowledge representability of the Z Modal Logic. These results are the applications of the postulates presented by Peter Gärdenfors, for an episthemological theory, on the validation of a generalized version of the "Frame Axiom", originally proposed by F. Brown et al. for nonmonotonic reasoning.


Why machine learning will impact, but not take, your job Information Age

#artificialintelligence

Artificial intelligence is being used all around is, but it looks nothing like The Jetsons. So why are people panicked that robots will take their jobs? The World Economic Forum warned that robots and technological advances will take more than 5 million jobs from humans over the next five years. Machine learning has undoubtedly earned its place in the workforce, but machines don't necessarily have to replace humans – they can in fact enhance the work humans can do. One area where machine learning is flourishing is in the localisation and translation industry.