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IBM’s Watson To Power Self-Driving Cars
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Olli, a self-driving passenger shuttle running IBM Watson Internet of Things technology, made its debut in a shopping area of the Washington,D.C. suburbs.
While some “fine-tuning” of the self-driving features are needed, passengers, by this fall, should be able to ride around and speak directions to Olli on the private roads at the National Harbor shopping and entertainment area on the Maryland side of the Potomac River, according to a spokeswoman for Local Motors, the designer of Olli.
The vision is that Olli will be used in all kinds of venues, such as crowded urban areas, college and corporate campuses and theme parks. It could also become the “last mile” connection from a subway or bus stop to a job site. Miami-Dade County has ordered two of the vehicles for a pilot project there, said the Local Motors spokeswoman, Jacqueline Keidel.
Olli didn’t give any rides to reporters and bystanders at its Thursday debut, but the vehicle dropped off Local Motors CEO John Rogers with engineers standing by to offer assistance if needed.
“Olli offers a smart, safe and sustainable transportation solution that is long overdue,” Rogers said in a statement, adding that Olli with Watson “acts as our entry into the world of self-driving vehicles.”
Olli is the first vehicle to use cloud-based cognitive computing from IBM Watson Internet of Things to analyze and learn from 30 sensors embedded in the vehicle. Four Watson developer APIs were used that allow Olli to interact with passengers: speech to text, natural language classifier, entity extraction and text to speech.
Since Watson is web-enabled, Olli will also be able to answer questions about popular nearby restaurants or historical sites, at least according to how Local Motors and IBM have described the vehicle’s capabilities.
Green said IBM will expand its Watson IBM research by helping develop and create additional Ollis at Local Motors headquarters near Phoenix and at IBM Watson IoT’s AutoLab, an incubator for cognitive mobility applications. “We have a long term vision with Watson,” Keidel added.
Courtesy-http://www.thegurureview.net/aroundnet-category/ibms-watson-powers-self-driving-shuttle-olli-debuts-in-d-c.html
Are Quantum Computers On The Horizon?
Massachusetts Institute of Technology (MIT) and Austria’s University of Innsbruck claim to have put together a working quantum computer capable of solving a simple mathematical problem.
The architecture they have devised ought to be relatively easy to scale, and could therefore form the basis of workable quantum computers in the future – with a bit of “engineering effort” and “an enormous amount of money”, according to Isaac Chuang, professor of physics, electrical engineering and computer science at MIT.
Chuang’s team has put together a prototype comprising the first five quantum bits (or qubits) of a quantum computer. This is being tested on mathematical factoring problems, which could have implications for applications that use factoring as the basis for encryption to keep information, including credit card details, secure.
The proof-of-concept has been applied only to the number 15, but the researchers claim that this is the “first scalable implementation” of quantum computing to solve Shor’s algorithm, a quantum algorithm that can quickly calculate the prime factors of large numbers.
“The team was able to keep the quantum system stable by holding the atoms in an ion trap, where they removed an electron from each atom, thereby charging it. They then held each atom in place with an electric field,” explained MIT.
Chuang added: “That way, we know exactly where that atom is in space. Then we do that with another atom, a few microns away – [a distance] about 100th the width of a human hair.
“By having a number of these atoms together, they can still interact with each other because they’re charged. That interaction lets us perform logic gates, which allow us to realise the primitives of the Shor factoring algorithm. The gates we perform can work on any of these kinds of atoms, no matter how large we make the system.”
Chuang is a pioneer in the field of quantum computing. He designed a quantum computer in 2001 based on one molecule that could be held in ‘superposition’ and manipulated with nuclear magnetic resonance to factor the number 15.
The results represented the first experimental realisation of Shor’s algorithm. But the system wasn’t scalable as it became more difficult to control as more atoms were added.
However, the architecture that Chuang and his team have put together is, he believes, highly scalable and will enable the team to build quantum computing devices capable of solving much bigger mathematical factors.
“It might still cost an enormous amount of money to build, [and] you won’t be building a quantum computer and putting it on your desktop anytime soon, but now it’s much more an engineering effort and not a basic physics question,” said Chuang.
In other quantum computing news this week, the UK government has promised £200m to support engineering and physical sciences PhD students and fuel UK research into quantum technologies, although most of the cash will be spent on Doctoral Training Partnerships rather than trying to build workable quantum computing prototypes.
Courtesy-TheInq
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
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.
Will A.I. Create The Next Industrial Revolution?
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Artificial Intelligence will be responsible for the next industrial revolution, experts in the field have claimed, as intelligent computer systems replace certain human-operated jobs.
Four computer science experts talked about how advances in AI could lead to a “hollowing out” of middle-income jobs during a panel debate hosted by ClickSoftware about the future of technology.
“It’s really important that we take AI seriously. It will lead to the fourth industrial revolution and will change the world in ways we cannot predict now,” said AI architect and author George Zarkadakis.
His mention of the “fourth industrial revolution” refers to the computerization of the manufacturing industry.
If the first industrial revolution was the mechanisation of production using water and steam power, followed by the second which introduced mass production with the help of electric power, then the third is what we are currently experiencing: the digital revolution and the use of electronics and IT to further automate production.
The fourth industrial revolution, which is sometimes referred to as Industry 4.0, is the vision of the ‘smart factory’, where cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralized decisions.
These cyber-physical systems communicate and cooperate with each other and humans in real time over the Internet of Things.
Dan O’Hara, professor of cognitive computing at Goldsmiths, University of London, explained that this fourth industrial revolution will not be the same kind of “hollowing out” of jobs that we saw during the last one.
“It [won’t be] manual labour replaced by automation, but it’ll be the hollowing out of middle-income jobs, medium-skilled jobs,” he said.
“The industries that will be affected the most from a replacement with automation are construction, accounts and transport. But the biggest [industry] of all, remembering this is respective to the US, is retail and sales.”
O’Hara added that many large organisations’ biggest expense is people, who already work alongside intelligent computer systems, and this area is most likely to be affected as companies look to reduce costs.
“Anything that’s working on an AI-based system is bound to be very vulnerable to the replacement by AI as it’s easily automated already,” he said.
However, while AI developments in the retail space could lead to the replacement of jobs, it is also rather promising at the same time.
Mark Bishop, professor of cognitive computing at Goldsmiths, highlighted that AI could save businesses money if it becomes smart enough to determine price variants in company spending, for example, scanning through years of an organisation’s invoice database and detecting the cheapest costs and thus saving on outgoings.
While some worry that AI will take over jobs, others have said that they will replace humans altogether.
John Lewis IT chief Paul Coby said earlier this year that the blending of AI and the IoT in the future could signal the end of civilisation as we know it.
Coby explained that the possibilities are already with us in terms of AI and that we ought to think about how “playing with the demons” could be detrimental to our future.
Apple co-founder Steve Wozniak added to previous comments from Stephen Hawking and Elon Musk with claims that “computers are going to take over from humans”.
Woz made his feelings on AI known during an interview with the Australian Financial Review, and agreed with Hawking and Musk that its potential to surpass humans is worrying.
“Computers are going to take over from humans, no question. Like people including Stephen Hawking and Elon Musk have predicted, I agree that the future is scary and very bad for people,” he said.
Will IBM Realize Growth In 2015?
International Business Machines Corp said it is projecting growth in its hardware sector next year as the company invests in research and development and abandons low-performing ventures.
The comments come less than one month after the world’s largest technology service company reported its lowest quarterly revenue in five years, weighed by sluggish global demand for its hardware, which plunged 23 percent in the first quarter of 2014.
The company added that growth in Latin America, the Middle East and Africa remain strong, and blamed falling revenue in China on government reforms affecting state-owned clients, and on the country’s hardware-heavy portfolio.
“We move on and we spread ourselves out, more industries, more clients, cloud, data, et cetera, around there,” said IBM Chief Executive Ginni Rometty at an investor briefing on Wednesday.
Chief Financial Officer Martin Schroeter said to stabilize the hardware sector IBM would continue to “refresh” hardware and further invest in research and development.
“Quite frankly, we are seeing very good growth out of software, good growth out of services, but challenges in hardware,” said Schroeter. “We will stabilize that hardware base and I am comfortable we will make that happen in 2014,” he said.
He reiterated the company’s EPS target for 2015 of at least $20. He expects a shift to higher-value business to bring in $3.25 and share repurchases to add $2 in earnings per share by 2015.
IBM’s Watson Goes To Africa
IBM has detailed plans to apply its Watson supercomputer the critical development issues facing Africa.
The machine is capable of holding more intelligent conversations than most Big Brother contestants, and in 2011 it beat human contestants on the US TV game show Jeopardy.
However, in Africa it will be used to help solve the pressing problems facing the continent such as agricultural patterns and famine relief.
The initiative, named Project Lucy after the earliest human remains discovered on the continent, will take 10 years and is expected to cost $100m.
“I believe it will spur a whole era of innovation for entrepreneurs here,” IBM CEO Ginni Rometty told delegates at a conference on Wednesday.
“Data… needs to be refined. It will determine undisputed winners and losers across every industry.”
The technology will be used to find ways to enable the developing world to leapfrog over stages of development that have hitherto been too expensive.
One example cited was Nigeria, where two companies have already committed to use Project Lucy to analyse the poorly maintained road system and determine project priorities for repair.
IBM recently announced that it will invest $1bn to spin off Watson into a separate business unit, however this could be quite a gamble as Reuters reported that although Watson has proved to be a quantum leap, it has yet to make any significant money for the company, netting less than $100m in the past three years.
IBM Still Talking Up SyNAPSE
IBM has unveiled the latest stage in its plans to generate a computer system that copies the human brain, calculating tasks that are relatively easy for humans but difficult for computers.
As part of the firm’s Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) project, IBM researchers have been working with Cornell University and Inilabs to create the programming language with $53m in funding from the Defense Advanced Research Projects Agency (DARPA).
First unveiled two years ago this month, the technology – which mimics both the size and power of humanity’s most complex organ – looks to solve the problems created by traditional computing models when handling vast amounts of high speed data.
IBM explained the new programming language, perhaps not in layman’s terms, by saying it “breaks the mould of sequential operation underlying today’s von Neumann architectures and computers” and instead “is tailored for a new class of distributed, highly interconnected, asynchronous, parallel, large-scale cognitive computing architectures”.
That, in English, basically means that it could be used to create next generation intelligent sensor networks that are capable of perception, action and cognition, the sorts of mental processes that humans take for granted and perform with ease.
Dr Dharmendra Modha, who heads the programme at IBM Research, expanded on what this might mean for the future, sayng that the time has come to move forward into the next stage of information technology.
“Today, we’re at another turning point in the history of information technology. The era that Backus and his contemporaries helped create, the programmable computing era, is being superseded by the era of cognitive computing.
“Increasingly, computers will gather huge quantities of data, reason over the data, and learn from their interactions with information and people. These new capabilities will help us penetrate complexity and make better decisions about everything from how to manage cities to how to solve confounding business problems.”
The hardware for IBM’s cognitive computers mimic the brain, as they are built around small “neurosynaptic cores”. The cores are modeled on the brain, and feature 256 “neurons” (processors), 256 “axons” (memory) and 64,000 “synapses” (communications between neurons and axons).
IBM suggested that potential uses for this technology could include a pair of glasses which assist the visually impaired when navigating through potentially hazardous environments. Taking in vast amounts of visual and sound data, the augmented reality glasses would highlight obstacles such as kerbs and cars, and steer the user clear of danger.
Other uses could include intelligent microphones that keep track of who is speaking to create an accurate transcript of any conversation.
In the long term, IBM hopes to build a cognitive computer scaled to 100 trillion synapses. This would fit inside a space with a volume of no more than two litres while consuming less than one kilowatt of power.
Future PCs Will Be Constant Learners
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Tomorrow’s computers will constantly improve their understanding of the data they work with, which in turn will aid them in providing users with more appropriate information, predicted the software mastermind behind IBM’s Watson system.
Computers in the future “will learn through interacting with us. They will not necessarily require us to sit down and explicitly program them, but through continuous interaction with humans they will start to understand the kind of data and the kind of computation we need,” said IBM Fellow David Ferrucci, who was IBM’s principal investigator for Watson technologies. Ferrucci spoke at the IBM Smarter Computing Executive Forum, held Wednesday in New York.
“This notion of learning through collaboration and interaction is where we think computing is going,” he said.
IBM’s Watson project was an exercise for the company in how to build machines that can better anticipate user needs.
IBM researchers spent four years developing Watson, a supercomputer designed specifically to compete in the TV quiz show “Jeopardy,” a contest that took place last year. On “Jeopardy,” contestants are asked a range of questions across a wide variety of topic areas.
Watson did win at its “Jeopardy” match. Now IBM thinks the Watson computing model can have a wide range of uses.
Big Blue Still The Patent King
As technology companies start to stockpile patents so that they can see off their rivals IFI Claims Patent Services, a company that maintains global patent databases, has clocked the outfits with the most weapons in any patent war.
More than 224,505 utility patents were awarded in the U.S. last year, jumping two percent over the previous year’s record-breaking tally of 219,614 patents. IBM has always had the most patents, probably because it has been around the longest. The company was granted 6,180 utility patents, up nearly five percent from 2010. Samsung was the number two 4,894 patents, followed by Canon at 2,821 patents, Panasonic with 2,559 and Toshiba with 2,483 utility patents.
Microsoft, which held on to the third spot in 2010, is in the sixth place with 2,311 utility patents granted last year, According to IFI CEO Mike Baycroft global companies, and especially Asian ones, are collecting U.S patents at a dizzying pace, and now Asian firms hold eight of the top 10 slots in the 2011 ranking.