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Category: computing

IBM leads the way on AI — definitely makes sense and should given the years of research & funding spent on Watson. It would be really place IBM in a bad position not to be a leader in in AI especially since it has spent so many years on cognitive computing technology.

While Google and Facebook are taking the headlines with their advancements in Artificial Intelligence, another company is making some big strides behind the scenes. The ever resilient IBM has come up with an interesting strategy to garner attention for it’s cognitive computing technology “Watson “.

Here is Why IBM May Develop a Better AI than Google or Facebook Clapway

IBM HOLDS $5 MILLION CONTEST FOR AI

At a TED conference this past week, IBM has announced a $5 million contest for developers that can come up with some creative uses for their artificial intelligence. The details of the contest have not been released, but IBM has made it clear their cognitive computing technology should be far more revolutionary than that of Google or Facebook. What is known about the format of this competition is that developers will be given a lot of freedom towards their idea. The purpose isn’t necessarily to overcome a series of challenges and follow guidelines, but to produce an idea that will bring Watson to the forefront of AI.

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Neural networks have become enormously successful – but we often don’t know how or why they work. Now, computer scientists are starting to peer inside their artificial minds.

A PENNY for ’em? Knowing what someone is thinking is crucial for understanding their behaviour. It’s the same with artificial intelligences. A new technique for taking snapshots of neural networks as they crunch through a problem will help us fathom how they work, leading to AIs that work better – and are more trustworthy.

In the last few years, deep-learning algorithms built on neural networks – multiple layers of interconnected artificial neurons – have driven breakthroughs in many areas of artificial intelligence, including natural language processing, image recognition, medical diagnoses and beating a professional human player at the game Go.

The trouble is that we don’t always know how they do it. A deep-learning system is a black box, says Nir Ben Zrihem at the Israel Institute of Technology in Haifa. “If it works, great. If it doesn’t, you’re screwed.”

Neural networks are more than the sum of their parts. They are built from many very simple components – the artificial neurons. “You can’t point to a specific area in the network and say all of the intelligence resides there,” says Zrihem. But the complexity of the connections means that it can be impossible to retrace the steps a deep-learning algorithm took to reach a given result. In such cases, the machine acts as an oracle and its results are taken on trust.

To address this, Zrihem and his colleagues created images of deep learning in action. The technique, they say, is like an fMRI for computers, capturing an algorithm’s activity as it works through a problem. The images allow the researchers to track different stages of the neural network’s progress, including dead ends.

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InVisage has just announced their release of a new Infrared scanner for eye scan security recognition device. Since InVisage also developed and release a new film leveraging Q-Dot technology; the scanner is also leveraging this technology for more accurate readings and imaging.

InVisage’s new image sensor for infrared cameras could help drones avoid trees and could aid virtual reality headsets in seeing where you’re pointing.

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Criminal’s favorite new tool for extortion.

Hollywood Presbyterian Medical Center was the target of a ransomware extortion plot in which hackers seized control of the hospital’s computer systems and then demanded that directors pay in bitcoin to regain access, according to law enforcement sources.

Ransomware attacks on business data systems are becoming an increasingly common form of cyber crime. The assault on Hollywood Presbyterian computers occurred Feb. 5, when hackers prevented hospital staff from accessing patient information, according to law enforcement sources, who were not authorized to discuss the details of the investigation. The hackers then demanded an unspecified sum of computer currency.

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Government and tech + telecom & ISPs need to come to an agreement in how to ensure innocent people’s privacy are respected. When a person murders, stalk, threaten, kidnap, and/ or assault a person then we have a responsibility first to protect the innocent public. And, with the resistance being displayed by Apple, are we running the risk of further alienating the consumers and business customers more when it comes to releasing AI like robots, self driving cars, etc. onto the public where criminals can buy AI technology and use it to hurt others?

We really need to be addressing these issues soon.

Tim Cook is playing a dangerous game of brinkmanship with the U.S. government. In the process, he may set in motion political and judicial processes that will endanger the security of all our mobile devices.

First, let me say that I agree with the spirit of Mr. Cook’s open letter rebuffing a court order that Apple Inc. create a new version of the iPhone’s operating system to allow the Federal Bureau of Investigation to access the…

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In a new paper published in Science, researchers at the Harvard and Raytheon BBN Technology have observed, for the first time, electrons in a metal behaving like a fluid (credit: Peter Allen/Harvard SEAS)

A radical discovery by researchers at Harvard and Raytheon BBN Technology about graphene’s hidden properties could lead to a model system to explore exotic phenomena like black holes and high-energy plasmas, as well as novel thermoelectric devices.

In a paper published Feb. 11 in Science, the researchers document their discovery of electrons in graphene behaving like a fluid. To make this observation, the team improved methods to create ultra-clean graphene and developed a new way to measure its thermal conductivity.

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Jungsang Kim is trying to create a quantum computer by controlling the frequency of a laser to within a millionth of a percent.

According to David DiVincenzo, a prominent computer scientist at IBM, researchers must meet five criteria to create a true quantum computing device.

First, Kim needs a well-defined system that can represent different states. For example, classical computers use small electrical switches made out of semiconductors to indicate a 1 or a 0. But because an atom’s quantum spin can point in an infinite number of directions, controlling its state with a high degree of reliability is very difficult. Kim’s group has demonstrated this feat with an accuracy on par with anyone in the world.

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