Sign up for our Technology Newsletter 
Elon Musk Opens Gym For AI Programmers
Techie entrepreneur Elon Musk has rolled out an open-source training “gym” for artificial-intelligence programmers.
It’s an interesting move for a man who in 2014 said artificial intelligence, or A.I., will pose a threat to the human race.
“I think we should be very careful about artificial intelligence,” Musk said about a year and a half ago during an MIT symposium. “If I were to guess at what our biggest existential threat is, it’s probably that… with artificial intelligence, we are summoning the demon. In all those stories with the guy with the pentagram and the holy water, and he’s sure he can control the demon. It doesn’t work out.”
Today, Musk is moving to help programmers use A.I. and machine learning to build smart robots and smart devices.
“We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms,” wrote Greg Brockman, OpenAI’s CTO, and John Schulman, a scientist working with OpenAI, in a blog post . “We originally built OpenAI Gym as a tool to accelerate our own RL research. We hope it will be just as useful for the broader community.”
The OpenAI Gym is meant as a tool for programmers to use to teach their intelligent systems better ways to learn and develop more complex reasoning. In short, it’s meant to make smart systems smarter.
Musk is a co-chair of OpenAI, a $1 billion organization that was unveiled last December as an effort focused on advancing artificial intelligence that will benefit humanity.
While Musk has warned of what he sees as the perils of A.I., it’s also a technology that he needs for his businesses.
The OpenAI Gym is made up of a suite of environments, including simulated robots and Atari games, as well as a site for comparing and reproducing results.
It’s focused on reinforcement learning, a field of machine learning that involves decision-making and motor control.
According to OpenAI, reinforcement learning is an important aspect of building intelligent systems because it encompasses any problem that involves making a sequence of decisions. For instance, it could focus on controlling a robot’s motors so it’s able to run and jump, or enabling a system to make business decisions regarding pricing and inventory management.
Two major challenges for developers working with reinforcement learning are the lack of standard environments and the need for better benchmarks.
Musk’s group is hoping that the OpenAI Gym addresses both of those issues.
Source- http://www.thegurureview.net/aroundnet-category/elon-musk-opens-training-gym-for-ai-programmers.html
Is IBM Going To Court Over Unix Dispute?
Comments Off on Is IBM Going To Court Over Unix Dispute?
Defunct Unix Vendor SCO, which claimed that Linux infringed its intellectual property and sought as much as $5bn in compensation from IBM, has filed notice of yet another appeal in the 13-year-old dispute.
The appeal comes after a ruling at the end of February when SCO’s arguments claiming intellectual property ownership over parts of Unix were rejected by a US district court. That judgment noted that SCO had minimal resources to defend counter-claims filed by IBM due to SCO’s bankruptcy.
In a filing, Judge David Nuffer argued that “the nature of the claims are such that no appellate court would have to decide the same issues more than once if there were any subsequent appeals”, effectively suggesting that the case had more than run its course.
On 1 March, that filing was backed up by the judge’s full explanation, declaring IBM the emphatic victor in the long-running saga.
“IT IS ORDERED AND ADJUDGED that pursuant to the orders of the court entered on July 10, 2013, February 5, 2016, and February 8, 2016, judgment is entered in favour of the defendant and plaintiff’s causes of action are dismissed with prejudice,” stated the document.
Now, though, SCO has filed yet again to appeal that judgment, although the precise grounds it is claiming haven’t yet been disclosed.
SCO is being represented by the not-inexpensive law firm of Boise, Schiller & Flexner, which successfully represented the US government against Microsoft in the antitrust case in the late 1990s. Although SCO is officially bankrupt, it’s unclear who continues to bankroll the case. Its one remaining “asset” is its claims for damages against IBM.
Meanwhile, despite the costs of the case, IBM has fought SCO vigorously, refusing even to throw a few million dollars at the company by way of compensation, which would encourage what remains of the company to pursue other, presumably easier, open source targets.
Courtesy-TheInq
IBM’s Watson Goes IoT
IBM has announced a major expansion in Europe with the establishment of a new HQ for Watson Internet of Things (IoT).
The Munich site establishes a global headquarters for the Watson IoT program which is dedicated to launching “offerings, capabilities and ecosystem partners” designed to bring the cognitive powers of the company’s game show winning supercomputer to billions of tiny devices and sensors.
Some 1,000 IBM developers, consultants, researchers and designers will join the Munich facility, which the company describes as an “innovation super center”. It is the biggest IBM investment in Europe for over 20 years.
IBM Cloud will power a series of APIs that will allow IoT developers to harness Watson within their devices.
“The IoT will soon be the largest single source of data on the planet, yet almost 90 percent of that data is never acted on,” said Harriet Green, general manager for Watson IoT and Education.
“With its unique abilities to sense, reason and learn, Watson opens the door for enterprises, governments and individuals to finally harness this real-time data, compare it with historical data sets and deep reservoirs of accumulated knowledge, and then find unexpected correlations that generate new insights to benefit business and society alike.”
The APIs were first revealed in September and new ones for the IoT were announced today.
These include the Natural Language Processing API, which contextualizes language from context and is able to respond in the same simple way; Machine Learning Watson API, which can establish patterns in order to perform a repeated task better each time or change the method to suit; Video and Image Analytics API, which can infer information from video feeds; and Text Analytics Watson API, which can glean information from unstructured text data such as Twitter feeds.
The company will also open eight regional centres across four continents to give customers in those territories the opportunity to access information and experiences.
Courtesy-TheInq
AI Assistant on The Way
December 15, 2015 by admin
Filed under Around The Net
Comments Off on AI Assistant on The Way
Researchers at Carnegie Mellon University are working on artificial intelligence software that could one day become a personal assistant, whispering directions to get to a restaurant, put together a book shelf or repair a manufacturing machine.
The software is named Gabriel, after the angel that serves as God’s messenger, and is designed to be used in a wearable vision system – something similar to Google Glass or another head-mounted system. Tapping into information held in the cloud, the system is set up to feed or “whisper” information to the user as needed.
At this point, the project is focused on the software and is not connected to a particular hardware device.
“Ten years ago, people thought of this as science fiction,” said Mahadev Satyanarayanan, professor of computer science and the principal investigator for the Gabriel project, at Carnegie Mellon. “But now it’s on the verge of reality.”
The project, which has been funded by a $2.8 million grant from the National Science Foundation, has been in the works for the past five years.
“This will enable us to approach, with much higher confidence, tasks, such as putting a kit together,” said Satyanarayanan. “For example, assembling a furniture kit from IKEA can be complex and you may make mistakes. Our research makes it possible to create an app that is specific to this task and which guides you step-by-step and detects mistakes immediately.”
He called Gabriel a “huge leap in technology” that uses mobile computing, wireless networking, computer vision, human-computer interaction and artificial intelligence.
Satyanarayanan said he and his team are not in talks with device makers about getting the software in use, but he hopes it’s just a few years away from commercialization.
“The experience is much like a driver using a GPS navigation system,” Satyanarayanan said. “It gives you instructions when you need them, corrects you when you make a mistake and, most of the time, shuts up so it doesn’t bug you.”
One of the key technologies being used with the Gabriel project is called a “cloudlet.” Developed by Satyanarayanan, a cloudlet is a cloud-supported data center that serves multiple local mobile users.
Source- http://www.thegurureview.net/consumer-category/want-an-ai-based-whispering-personal-assistant.html
Suse Goes 64-bit ARM Servers
Suse wants to speed the development of server systems based on 64-bit ARM processors.
The outfit said that it is making available to its partners a version of Suse Linux Enterprise 12 ported to ARM’s 64-bit architecture (AArch64).
This will enable them to develop, test and deliver products to the market based on ARM chips.
Suse has also implemented support for AArch64 into its openSUSE Build Service. This allows the community to build packages against real 64-bit ARM hardware and the Suse Linux Enterprise 12 binaries.
Hopefully this will improve the time to market for ARM-based solutions, the firm said.
Suse partners include chip makers AMD AppliedMicro and Cavium, while Dell, HP and SoftIron. Suse wants ARM processors to be part of a scalable technology platform in the data centre.
Through participation in the programme, partners will be able to build solutions for various applications, from purpose-built appliances for security, medical and network functions, to hyperscale computing, distributed storage and software-defined networking.
There are multiple vendors using the same core technology licensed from ARM. This provides a common base for the OS vendors, like Suse, to build support in their kernel.
Suse has some competition for ARM-based systems. Last year, Red Hat started up its ARM Partner Early Access Programme (PEAP), while Canonical has offered ARM support in its Ubuntu platform for several years now, including a long-term support (LTS) release last year that included the OpenStack cloud computing framework.
China Keeps Supercomputing Title
A supercomputer developed by China’s National Defense University still is the fastest publically known computer in the world, while the U.S. is close to an historic low in the latest edition of the closely followed Top 500 supercomputer ranking, which was just published.
The Tianhe-2 computer, based at the National Super Computer Center in Guangzhou, has been on the top of the list for more than two years and its maximum achieved performance of 33,863 teraflops per second is almost double that of the U.S. Department of Energy’s Cray Titan supercomputer, which is at the Oak Ridge National Laboratory in Tennessee.
The IBM Sequoia computer at the Lawrence Livermore National Laboratory in California is the third fastest machine, and fourth on the list is the Fujitsu K computer at Japan’s Advanced Institute for Computational Science. The only new machine to enter the top 10 is the Shaheen II computer of King Abdullah University of Science and Technology in Saudi Arabia, which is ranked seventh.
The Top 500 list, published twice a year to coincide with supercomputer conferences, is closely watched as an indicator of the status of development and investment in high-performance computing around the world. It also provides insights into what technologies are popular among organizations building these machines, but participation is voluntary. It’s quite possible a number of secret supercomputers exist that are not counted in the list.
With 231 machines in the Top 500 list, the U.S. remains the top country in terms of the number of supercomputers, but that’s close to the all-time low of 226 hit in mid-2002. That was right about the time that China began appearing on the list. It rose to claim 76 machines this time last year, but the latest count has China at 37 computers.
The Top 500 list is compiled by supercomputing experts at the University of Mannheim, Germany; the University of Tennessee, Knoxville; and the Department of Energy’s Lawrence Berkeley National Laboratory.
IBM Buys Blue Box
IBM HAS ACQUIRED Blue Box in an attempt to make its cloud offering even bluer. The Seattle-based company specialises in simple service-as-a-platform clouds based on OpenStack.
This, of course, fits in with IBM’s new direction of a Power PC, OpenStack cloud-based world, as demonstrated by its collaboration with MariaDB on TurboLAMP.
IBM’s move to the cloud is starting to pay off, seeing revenue of $7.7bn in the 12 months to March 2015 and growing more than 16 percent in the first quarter of this year.
The company plans to use the new acquisition to create rapid, integrating cloud-based applications and on-premise systems within the OpenStack managed cloud.
Blue Box also brings a remotely managed OpenStack to provide customers with a local cloud, better visibility control and tighter security.
“IBM is dedicated to helping our clients migrate to the cloud in an open, secure, data rich environment that meets their current and future business needs,” said IBM general manager of cloud services Jim Comfort.
“The acquisition of Blue Box accelerates IBM’s open cloud strategy, making it easier for our clients to move data and applications across clouds and adopt hybrid cloud environments.”
Blue Box will offer customers a more cohesive, consistent and simplified experience, while at the same time integrating with existing IBM packages like the Bluemix digital innovation platform. The firm also offers a single unified control panel for customer operations.
“No brand is more respected in IT than IBM. Blue Box is building a similarly respected brand in OpenStack,” said Blue Box founder and CTO Jesse Proudman.
“Together, we will deliver the technology and products businesses need to give their application developers an agile, responsive infrastructure across public and private clouds.
“This acquisition signals the beginning of new OpenStack options delivered by IBM. Now is the time to arm customers with more efficient development, delivery and lower cost solutions than they’ve seen thus far in the market.”
IBM has confirmed that it plans to help Blue Box customers to grow their technology portfolio, while taking advantage of the broader IBM product set.
SUSE Brings Hadoop To IBM z Mainframes
SUSE and Apache Hadoop vendor Veristorm are teaming up to bring Hadoop to IBM z and IBM Power systems.
The result will mean that regardless of system architecture, users will be able to run Apache Hadoop within a Linux container on their existing hardware, meaning that more users than ever will be able to process big data into meaningful information to inform their business decisions.
SUSE’s Veristorm Data Hub and vStorm Enterprise Hadoop will now be available as zDoop, the first mainframe-compatible Hadoop iteration, running on SUSE Linux Enterprise Server for System z, either on IBM Power12 or Power8 machines in little-endian mode, which makes it significantly easier for x86 based software to be ported to the IBM platform.
SUSE and Veristorm have also committed to work together on educating partners and channels on the benefits of the overall package.
Naji Almahmoud, head of global business development for SUSE, said: “The growing need for big data processing to make informed business decisions is becoming increasingly unavoidable.
“However, existing solutions often struggle to handle the processing load, which in turn leads to more servers and difficult-to-manage sprawl. This partnership with Veristorm allows enterprises to efficiently analyse their mainframe data using Hadoop.”
Veristorm launched Hadoop for Linux in April of last year, explaining that it “will help clients to avoid staging and offloading of mainframe data to maintain existing security and governance controls”.
Sanjay Mazumder, CEO of Veristorm, said that the partnership will help customers “maximize their processing ability and leverage their richest data sources” and deploy “successful, pragmatic projects”.
SUSE has been particularly active of late, announcing last month that its software-defined Enterprise Storage product, built around the open source Ceph framework, was to become available as a standalone product for the first time.
Should Encryption Be The Norm?
Encryption should be a matter of priority and used by default. That’s the message from the Internet Architecture Board (IAB), the worldwide body in charge of the internet’s technology infrastructure.
The IAB warned in a statement that “the capabilities and activities of attackers are greater and more pervasive than previously known”.
It goes on to say: “The IAB urges protocol designers to design for confidential operation by default. We strongly encourage developers to include encryption in their implementations, and to make them encrypted by default.
“We similarly encourage network and service operators to deploy encryption where it is not yet deployed, and we urge firewall policy administrators to permit encrypted traffic.”
The purpose, the IAB claims, is to instill public trust in the internet after the myriad high-profile cases in which computer traffic has been intercepted, ranging from bank details to email addresses and all points in between.
The news will be unwelcome to the security services, which have repeatedly objected to initiatives such as the default encryption in iOS8 and Android L, claiming that it is in the interest of the population to retain the right to intercept data for the prevention of terrorism.
However, leaked information, mostly from files appropriated by rogue NSA contractor Edward Snowden, suggests that the right of information interception is abused by security services including the UK’s GCHQ.
These allegations include the collection of irrelevant data, the investigation of cold cases not in the public interest, and the passing of pictures of nude ladies to colleagues.
Scientist Develop Anti-Faking PC
Scientists have developed a computer system with sophisticated pattern recognition abilities that performed more impressively than humans in differentiating between people experiencing genuine pain and people who were just pretending.
In a study published in the journal Current Biology, human subjects did no better than chance – about 50 percent – in correctly judging if a person was feigning pain after seeing videos in which some people were and some were not.
The computer was right 85 percent of the time. Why? The researchers say its pattern-recognition abilities successfully spotted distinctive aspects of facial expressions, particularly involving mouth movements, that people generally missed.
“We all know that computers are good at logic processes and they’ve long out-performed humans on things like playing chess,” said Marian Bartlett of the Institute for Neural Computation at the University of California-San Diego, one of the researchers.
“But in perceptual processes, computers lag far behind humans and have a lot of trouble with perceptual processes that humans tend to find easy, including speech recognition and visual recognition. Here’s an example of a perceptual process that the computer is able to do better than human observers,” Bartlett said in a telephone interview.
For the experiment, 25 volunteers each recorded two videos.
In the first, each of the volunteers immersed an arm in lukewarm water for a minute and were told to try to fool an expert into thinking they were in pain. In the second, the volunteers immersed an arm in a bucket of frigid ice water for a minute, a genuinely painful experience, and were given no instructions on what to do with their facial expressions.
The researchers asked 170 other volunteers to assess which people were in real discomfort and which were faking it.
After they registered a 50 percent accuracy rate, which is no better than a coin flip, the researchers gave the volunteers training in recognizing when someone was faking pain. Even after this, the volunteers managed an accuracy rate of only 55 percent.
The computer’s vision system included a video camera that took images of a person’s facial expressions and decoded them. The computer had been programmed to recognize that one kind of facial movement combinations suggested true pain and another kind suggested faked pain.