Showing posts with label IBM. Show all posts
Showing posts with label IBM. Show all posts

Sunday, May 08, 2016

IBM Is Now Letting Anyone Try out Its Quantum Computer

https://www.wired.com/wp-content/uploads/2016/05/screen-shot-of-ibm-quantum-experience_26621604182_o.jpg


Quantum computing is computing at its most esoteric. It’s an experimental, enormously complex, sometimes downright confusing technology that’s typically the domain of hardcore academics and organizations like Google and NASA. But that might be changing.

Today, IBM unveiled an online service that lets anyone use the five-qubit quantum computer its researchers have erected at a research lab in Yorktown Heights, New York. You can access the machine over the Internet via a simple software interface—or at least it’s simple if you understand the basics of quantum computing. This new service is hardly something the everyday consumer will use, but it’s a big deal for the many researchers now working to build a practical quantum computer—a computer that moves beyond just 1s and 0s to become exponentially more powerful than today’s machines. In that sense, IBM is indeed striving to bring quantum computing to the world at large.

'I think that someone out there will learn things about the behavior of this quantum computer that its developers never thought of.' 

Yes, the service is a way for IBM to show off its quantum computer, to have outsiders verify and approve its work—something that’s particularly important when you’re dealing with the hard-to-pin-down dynamics of quantum systems. But David DiVincenzo, a professor at the Institute for Quantum Information at RWTH Aachen University and one of quantum computing’s earliest pioneers, believes the service will lead to more. “I think that someone out there will learn things about the behavior of this quantum computer,” he says, “that its developers never thought of.”


That’s an important thing as researchers seek to unlock new realms of technology with this kind of machine, including everything from understanding DNA sequences to predicting the rise and fall of the stock market. Some aim to simulate the way individual molecules interact, while others hope that quantum computers will extend the reach of machine learning. That’s what Google and NASA are exploring with their $10 million D-Wave machine, a somewhat controversial creation that exhibits quantum properties in at least some situations.

Meet the Qubit

Today’s computers store data in extremely small transistors. Each transistor can hold a single “bit” of information: a 1 or a 0. But about thirty years ago, scientists proposed a machine that could go beyond that binary, a machine that could store data in a system that obeys the seemingly magical principles of quantum mechanics. Instead of just a 1 or a 0, a “qubit” could store both at the same time, thanks to what’s called the superposition principle.

By extension, two qubits could hold four values simultaneously: 00, 01, 10, and 11. And if you keep adding qubits, you could, in theory, build a machine far more powerful than any that exists today. “These are things you can’t explain with regular logic,” says Jerry Chow, the former Yale researcher who helps oversee IBM’s quantum computing work. “Quantum computing and quantum algorithms are all about: how do you harness that?”

But that kind of ultra-powerful machine doesn’t yet exist. Qubits, you see, are slippery things. If you try to observe the state of a quantum system, it “decoheres,” falling into one state or the other. It no longer holds both a 0 and a 1. It holds only a O or a 1, like the classical computers of today. To build a true quantum computer, researchers must harness the probability that a qubit will decohere into one state versus the other.

The Same Result Each Time

There are many ways of doing this, and though none has truly cracked the problem, some are quite promising. IBM has built a quantum computer that operates by dropping superconducting circuits into an enormous sub-zero refrigerator, and it spans five qubits. But now, in sharing this machine with the world at large, the company hopes to accelerate its progress, aiming to extend its power to 50 or possibly 100 qubits.

These are things you can't explain with regular logic. Jerry Chow, IBM
 
According to David Cory, a professor with the University of Waterloo’s Institute for Quantum Computing, this sort of online quantum computer—a quantum cloud service, if you will—is pretty much unprecedented. Building such a service, he explains, is far more difficult than you might expect. “It’s not a simple thing to do,” he says. “Quantum systems are really quite delicate.”

And, he adds, IBM has done it right. The service is fronted by an interface that’s remarkably easy to use. “Any student that has a first introduction to quantum computing would understand how to interact with this device,” Cory says.

Cory spent the weekend using the new service, and what struck him was that the system was so consistent—that it reached the pretty much same result each time he ran a test. That’s not a big deal in the world of classical computing. Your laptop does that countless times a second. But in the world of quantum computing, which is all about capturing probabilities, consistency is a sign of progress. Now, with this service available to the larger community, perhaps more progress is on the way.



Source: Wired


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Thursday, December 17, 2015

IBM And Apple Enterprise Partnership Reaches 100 App Goal


IBM and Apple announced today that they had reached the 100 app milestone in their mobile app partnership.
The 100 apps cover the gamut of 60 professional roles across 14 industries and include iPhone, iPad, iPad Pro, Apple Watch and even Apple TV apps, Katharyn White, Vice President of IBM and Apple Partnership for IBM Global Business Services told TechCrunch.
Verticals include government, healthcare, telecommunications, transportation, insurance and many more.
Each app is unique in that the team starts with a problem, working closely with the employees who will actually be using the app. The idea is to understand the nature of the workflow and then apply mobile development principles to transform it into something entirely new. The ultimate goal, which White has expressed in several conversations, is bringing simplicity and a ‘wow factor’ to each app the team creates.
The partnership works because each company can draw upon its unique strengths, Maribel Lopez, principal at Lopez Research explained. “I think [Apple] brings the concept of simplicity (direct to task) and beauty to enterprise apps. IBM on the other hand understands business workflow, what generates productivity and back-end integration,” she said.
It also appeals to customers, says Gartner analyst Van Baker. “The Apple IBM partnership combines the dominant enterprise device vendor with a dominant enterprise software vendor which is inherently appealing to [customers],” he said.
These apps can do so much more than simply mobilizing a task from a PC because a mobile device and all it brings can change the way people work, Lopez explained. “Partnerships like this help companies create apps that were better than their PC predecessors because they can use more functions of the device  — camera, voice, messaging, location — and they can do it anywhere since it’s [portable],” she said.
The two companies understand this and don’t want to simply rebuild a desktop application in a smaller footprint, White says. Instead, they want to change the way people work, giving them access to information in the context of the job.
Many of these tools work in conjunction with back-end systems like ERP, CRM and content management; and IBM can bring its enterprise expertise to bear to help customers connect the apps developed with Apple to these systems.

IBM also has plans to tap into Watson, its cognitive intelligence platform, across the partner apps, bringing a set of analytics and intelligence to the back end. This means, as these apps gather more information, they could use this knowledge to run more effectively in the future.

It could also generate some interesting technology combinations from the two partners. “Combining a Siri front end with a Watson back end could be a very powerful offering,” Baker said.

While obviously this partnership is part of the broader IBM transformation process, White says from her perspective that is not her primary motivation here. “My motivation is to change the lives of people at work. The sub-benefit is that we are also changing the way we sell and changing our company,” she said.


Source: TechCrunch 
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Wednesday, September 16, 2015

IBM helps automakers build Internet of Things connected vehicles


IBM today announced a new IBM Cloud-based service to help automakers turn driver and vehicle data into actionable insights for predictive vehicle maintenance, real-time diagnostics on engine trouble,and to guide drivers to the most efficient traffic routes.
By 2020, 90 percent of new cars will be equipped with extensive connectivity services. To make the most of this connectivity, automakers are increasingly using IoT solutions that help to securely deliver data generated from cars directly to the cloud for near real-time analysis.
IBM's Internet of Things (IoT) for Automotive solution, built on the recently announced IBM IoT Foundation, helps automotive manufacturers gather data from individual sensors that can be combined with other data for real-time analysis. The service provides driver, vehicle and environmental insights through analytics, tapping both vehicle and geolocation data collected in the car. It also deliversnew insights from third party data such as from parking providers as well as an automotive manufacturer's customer data and vehicle history.
The international automotive supplier Continental is using IBM MessageSight and IBM InfoSphere Streams, components of the IBM IoT for Automotive solution, to help manage complex data streams and apply analytics to its eHorizon solution, which allows vehicle electronics to anticipate road conditions using digital mapping and crowd sourced data.
"The number of connected devices continues to grow at an extraordinary rate, and we are constantly on the lookout to use the data generated from those devices in a meaningful way," said Brian Droessler, Head of Software & Connected Solutions, Continental Infotainment & Connectivity Business Unit. "Together with IBM, we can better manage complex streams of data and apply analytics in a way that's secure, allowing us to create innovative solutions."
"With the significant increase in connected cars, automotive manufacturers have the ability to take near-real time data and put it to good use for drivers in a variety of ways—from finding the nearest parking space and most efficient route, to maintenance alerts that help drivers expect the unexpected," said Dirk Wollschlaeger, General Manager, Global Automotive Industry, IBM. "By combining data directly from the car with other sources, the insights derived through the IBM IoT for Automotive solution have the potential to change how we interact with our vehicles moving forward."
In addition to the rich driver and  insights enabled by IBM's IoT for Automotive service, new applications can easily be built using IBM IoT Foundation, a platform that supports very short application development cycles and capabilities ranging from rapid prototyping to scalable productive solutions.



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Saturday, September 12, 2015

IBM names a new leader of its Watson Health unit


Former Philips Healthcare CEO Deborah DiSanzo is the new General Manager of IBM's Watson Health unit, which aims to provide the company's cognitive computer system to health care professionals and patients. At IBM, DiSanzo leads more than 2,000 employees and is charged with scaling Watson Health globally and expanding IBM's Watson Health Cloud initiative. The Watson Health Cloud attempts to collect large amounts of patient data and make it easier for doctors and companies to make health decisions. IBM has teamed up with Apple (specifically, ResearchKitand HealthKit), Johnson & Johnson, Medtronic and other companies for the Cloud initiative.
Additionally, IBM announced new partnerships in its Watson Health business, including Boston Children's Hospital, Columbia University and Teva Pharmaceuticals. Plus, the company laid out two new endeavors: the IBM Watson Health Cloud for Life Sciences Compliance, which helps biomedical companies send products and innovations into the marketplace, and IBM Watson Care Manager, which "allows medical professionals to factor a broad range of determinants into a personalized patient engagement program, with the intent to vastly improve individual health outcomes," IBM says.


Source : Engadget 
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Saturday, September 05, 2015

IBM Watson: What are companies using it for?


Whether you call it a supercomputer, a cognitive computing system, or simply a question answering matching system -- IBM Watson is perhaps the most well-known example of artificial intelligence in use today.
Although garnering attention for its somewhat kitschy applications as a Jeopardy contestant, or even an at-home chef, Watson is actually powering quite a few practical applications across a variety of industries.
Here are five different types of applications where Watson is making an impact.

1. Healthcare

The medical field is the sector that is likely being impacted the most by Watson. For starters, Watson has taken residence at three of the top cancers hospitals in the US -- Memorial Sloan Kettering Cancer Center, University of Texas MD Anderson Cancer Center, and the Mayo Clinic -- where it helps with cancer research and patient care. In terms of cancer research, Watson is speeding up DNA analysis in cancer patients to help make their treatment more effective.
For physicians, Watson is helping with diagnoses. A dermatology app called schEMA allows doctors to input patient data and, using natural-language processing (NLP), helps identify potential symptoms and treatments. Additionally, Watson uses vision recognition to help doctors read scans such as X-rays and MRIs to better narrow the focus on a potential ailment.
It's used in veterinary medicine as well.

2. Finance

In the financial sector, Watson use is typically geared toward its question and answer capabilities. By not only answering questions, but also analyzing them as well, Watson can help give financial guidance and help manage financial risk.
In Australia, the company ANZ Global Wealth is focused on the latter. The company uses the Watson Engagement Advisor Tool, an NLP SaaS offering, to observe and field customer questions. Similarly, DBS bank in Singapore uses Watson to ensure the proper advice and experience for customers of its wealth management business.

3. Legal

When it comes to the law, most of us likely have more questions than answers on any topic. However, startups such as ROSS Intelligence Inc. are using Watson to make it easier to get answers to your burning legal questions.
According to ROSS's website, users can ask questions in plain English and the app uses NLP to understand the questions and then sifts through the entirety of a database to return a cited answer with relevant legislation. ROSS also monitors potential changes to relevant laws and alerts you when changes occur.
Singapore's Inland Revenue Authority is another organization using Watson to help answer legal questions, deploying Watson to field questions about tax.

4. Retail

Modern retail experiences are all about personalization. Natural Selection is an app created by Sellpoints that uses Watson's NLP capabilities to present products to customers at the most appropriate point in the buying cycle. This can help reduce the overall number of clicks until conversion for an online retailer.
Watson is also being used in online travel purchases. Travel company WayBlazer has created a Discovery Engine that uses Watson to take in and analyze data to better link additional offers and customize preferences for individual consumers.

5. Fantasy Football

This may seem like an odd place for IBM Watson to make a mark, but the fact is that there's a ton of data that can be leveraged in fantasy sports. Edge Up Sports has a Watson-powered platform that analyzes NFL data to help fantasy football fans make better choices during the season. It analyzes data such as news about the teams and tweets from individual players. It specifically relies on Watson APIs and IBM Watson Personality Insights to streamline the research process for fantasy sports.


Source : ZDNet 
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Saturday, August 29, 2015

IBM creates the world's most powerful computer chip


IBM has built a working version of a new computer chip, and it says it’s the most powerful ever created. At around four times more powerful than today's top-of-the-line technology, it should pave the way for a new generation of super-speedy computers and gadgets in the not-too-distant future.
All this power is made possible by transistors that are just 7 nanometres in size (7 billionths of a metre), created using a special silicon-germanium mixture instead of pure silicon. Today's smallest transistors are 14nm in size, with 10nm versions on the way.
Smaller transistors mean more can be packed into a single chip, which in turn leads to faster smartphones, laptops, and computers. IBM's breakthrough is still a long way from getting into consumer gadgets, but its lab work proves that 7nm transistors are possible.
For a long time, computer technology has followed the path known as Moore's law, named after Intel co-founder Gordon Moore. It states that computing power has the potential to double every two years, and so far, it's held true.
More recently, as computer chips get ever denser and the laws of physics start to restrict further improvements, there’s been some doubt within the industry that Moore's law could continue to be applied. But thanks to IBM's work and other projects across the world, it seems there's plenty of life in it yet.
The challenge now is translating what IBM has done in its research lab into a full-scale manufacturing process. As well as replacing silicon with a silicon-germanium alloy, the technique also uses Extreme Ultraviolet (EUV) lithography to etch the microscopic patterns required into each chip. It's an incredibly delicate and detailed process, but the end results are a computer chip that's faster, smaller, and more energy-efficient.
A number of partners have been working with IBM on the technology, including GlobalFoundries, Samsung, and SUNY (the State University of New York). It's part of an overall research push that will cost them $3 billion over the course of five years.
"For business and society to get the most out of tomorrow's computers and devices, scaling to 7nm and beyond is essential," Arvind Krishna of IBM Research told The New York Times, adding that the breakthrough "builds on decades of research that has set the pace for the microelectronics industry".
GlobalFoundries' Gary Patton said the milestone is going to be essential in "helping to address the development challenges central to producing a smaller, faster, more cost-efficient generation of semiconductors". We can’t wait to see the results.
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Friday, August 21, 2015

Can IBM’s LinuxONE mainframe compete with cloud computing?


IBM has announced two mainframe computers under the LinuxONE branding that will eventually be able to run Canonical’s popular Ubuntu Linux operating system. This latest move is part of a near-30-year history of IBM running UNIX and, later, Linux-based operating systems on its hardware products. IBM’s first UNIX-like product for its mainframes AIX/370 appeared way back in 1988. While the ability to run Ubuntu on a mainframe may have been the news that attracted attention, the announcement really has several parts.
First, there are two LinuxOne mainframe models. The LinuxONE Emperor is designed for large enterprises. IBM claims it can run up to 8,000 virtual servers, tens of thousands of containers. and 30 billion RESTful web interactions per day supporting millions of active users. The Emperor can have up to 141 processors, 10 terabytes of shared memory, and 640 dedicated I/O (input/output) processors. And IBM claims it can provide all this with a cost that’s half that of a public cloud infrastructure solution.
On the lower end, the LinuxONE Rockerhopper model is an entry-level mainframe aimed at mid-sized businesses which can be upgraded to an Emperor system. Both LinuxOne systems support KVM (Kernel-based Virtual Machine) with the initial work being done by SUSE (best known for tis SUSE Linux distribution).
Next, IBM and Canonical announced “plans to create an Ubuntu distribution for LinuxONE and z Systems.” Note that Ubuntu is not currently available for the LinuxONE mainframes. However, both Red Hat Linux and SUSE Linux are currently supported. IBM also announced its role in forming the Open Mainframe Project along with founding members ADP, CA Technologies, IBM, and SUSE. The Open Mainframe Foundation is a non-profit Linux Foundation Collaborative project.
Finally, IBM announced the LinuxONE developer cloud, which gives developers access to a virtual IBM LinuxONE mainframe. Marist College and Syracuse University’s School of Information Studies plan to host developer clouds that will be free to use. IBM didn’t indicate if this free access will be restricted to, for example, developers at educational institutions. IBM itself plans to create developer clouds for independent software vendors at at IBM sites in Dallas, Beijing, and Boeblingen, Germany that will provide “free trials.”
IBM’s continued expanding support of Linux and Open Source projects makes sense given that these platforms and tools provide much of today’s connected infrastructure. And, the move away from in-house servers to cloud-based ones is a direct threat to IBM’s mainframe business. The company’s claim that it can provide a fast, reliable, and secure alternative at half the cost of cloud-based solutions is bound to get the attention of those with large-scale projects who want to control costs.
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Tuesday, August 18, 2015

IBM wires up 'neuromorphic' chips like a rodent's brain


IBM has been working with DARPA's Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program since 2008 to develop computing systems that work less like conventional computers and more like the neurons inside your brain. After years of development, IBM has finally unveiled the systemto the public as part of a three-week "boot camp" training session for academic and government researchers.
The TrueNorth system, as it's been dubbed, employs modular chips that act like neurons. By stringing multiple chips together researchers can essentially build an artificial neural network. The version that IBM just debuted contains about 48 million connections -- roughly the same computing capacity as a rat's brain -- over an array of 48 chips.
These systems are designed to run "deep learning" algorithms -- similar to Facebook's new or Skype'sinsta-translate function -- but at a fraction of the cost, electrical draw and space needed by conventional data centers. For example, a TrueNorth chip contains 5.4 billion transistors but only uses 70 mw of power. An Intel processor, conversely contains just 1.4 billion transistors and draws between 35 and 140 watts.
In fact, future iterations of the TrueNorth system could (theoretically at least) be shrunk small enough to fit inside cell phones or smart watches. These chips also hold an advantage over the GPUs(graphics chips) and FPGAs (function-specific programmable chips) that the industry currently uses because TrueNorth chips operate much the same way that the deep learning algorithms running on them do. With it, IBM hopes to eventually shift some of the computing power requirements away from traditional data centers and onto end user devices.
This should speed up the computing process since data isn't being sent back and forth over the network. Instead, companies could simply develop a deep learning model (say, to count the number of cars in a photo), upload it to a central data server and then have the model run on the user's TrueNorth-enabled device. The system would be able to spot every car in the user's image gallery without having to upload each photo to the remote server for processing. Unfortunately, the system is still in its infancy and years away from your phone.
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Sunday, August 09, 2015

IBM Promises To Read Your X-Rays With $1 Billion Deal. Can It Really Do That?

IBM continued its big push to use its Watson artificial intelligence technology to revolutionize medicine by buying Merge Healthcare, a $227 million (sales) company that helps doctors and hospitals store and analyze CAT scans, X-rays, and other medical images. The goal, literally, is for Watson to be able to see and analyze those scans, along with written medical records.
Amazing. But what proof do we have that Watson is up to the task?
“ Watson has the ability in medical imaging to understand whether it is looking at an X-ray, or a CAT scan versus an MRI. It has the ability to know it’s looking at a brain scan versus a heart scan,” says John Kelly, IBM’s senior vice president, research and solutions porfolio. “We are now absolutely convinced that Watson is capable of doing these things. What we lacked was the access to clients, and the images. What Merge brings us is that access and that capacity.”
If it works, it would be revolutionary. Right now, more than 90% of the data in healthcare comes from images, Kelly says, but these are mostly analyzed using the human eye. Being able to analyze those images using artificial intelligence, including making measurements of things like the thickness of the heart’s wall or a tell-tale break in a bone, and then to cross-reference those images with the text in medical records could reduce medical errors and help make sure patients get the right diagnosis, saving lives.
The deal is the latest in a series of big moves by IBM to make real Watson’s promise in healthcare. In April, Big Blue announced that it was buying Cleveland-based Explorys and Dallas-based Phytel and announced partnerships with MedtronicMedtronic, Johnson & Johnson Johnson & Johnson and Apple Apple. Later that same month, it announced an effort with Apple and Japan Post, a giant insurance company, that would use Apple and IBM technology to try and improve the lives of thousands of senior citizens. In May, it entered the market for analyzing cancer genetics.
All of this is impressive. But what’s lacking for those of us outside the company or its partnerships is evidence that these efforts can work – and that IBM knows how to prove to health insurance companies that Watson is worth paying for. Will it be able to prove that patients whose records are analyzed using Watson are more likely to get a correct diagnosis? That health problems that are missed by conventional radiologists will be found by IBM’s computers? Healthcare is different. Vaporware doesn’t sell. Right now, as with so much about Watson in healthcare, we have enticing questions, few answers, and lots of confidence from IBM. Kelly swears that, where necessary, he will get approval from the Food and Drug Administration, and that he will prove the usefulness of Watson’s software solutions disease by disease until doctors, hospitals, and insurers are all convinced.
he says.

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Thursday, August 06, 2015

Over half of IBM’s 380,000 workers could soon be on MacBooks


Apple doesn't just beat competitors: eventually, it converts them. Case in point is IBM, the former PC juggernaut with which Apple feuded in the '80s, but which is now considering supplying MacBooks to more than half of its staff. The Wall Street Journal reports that the 104-year-old company's employees currently use more than 110,000 Apple devices including 50,000 MacBooks, but that this latter figure might eventually grow to 200,000 — one MacBook per person for more than half of IBM's 380,000 employees. This figure first surfaced in an internal video reported byMacRumors, in which IBM's chief information officer Jeff Smith discusses a conversation with his counterpart at Apple, Niall O'Connor. 

The news comes as Apple and IBM today announced the latest step in a year-long partnership between the two companies, with Big Blue launching a new enterprise scheme to help large firms incorporate Macs into their IT systems. IBM described the new service as a "rising requirement" as more employees demand Apple devices at work. When the two companies announced their "landmark partnership" in July last year, they stated their intention was to "redefine the way work [gets] done" by wedding IBM's enterprise skills with Apple's success in the consumer market. The focus has so far been mainly on mobile devices, with the pair teaming up to release new iOS enterprise apps for entities including law enforcement and the Japanese postal service.

Source: the verge 
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