By Mark Ritter
In 1981, Nobel Prize winner Richard Feynman challenged computer scientists to develop a new breed of computers based on quantum physics. Ever since then, scientists have been grappling with the difficulty of attaining such a grand challenge.
Employing quantum physics for computation is difficult in part because quantum information is very fragile, requiring the quantum elements to be cooled to near absolute zero temperature and shielded from electromagnetic radiation to minimize errors. This is so immensely different than our current approach to computation that the entire infrastructure of computing must be re-imagined and re-engineered.
Still, the challenges haven’t stopped physicists and computer scientists from trying, and an enormous amount of progress is being made. In fact, I believe we’re entering what will come to be seen as the golden age of quantum computing research.
Big Data, once thought to be the answer to unlocking insight, has itself become a challenge. From the vast amount of digital content online to new types of data streams from social, mobile and other sources, information overload pervades all aspects of our lives.
Identifying true insights trapped within that data is a difficult task. How do you sift through the 95 percent of information that doesn’t matter to find the five percent that does?
Enter IBM Watson and the era of cognitive computing. Watson has both an insatiable appetite for Big Data and the unique ability to contextually analyze that information to unlock meaningful insights. Continue Reading »
One of our young inventors grew up in a small town in rural South Carolina; another came from Bangladesh; and a third got hooked on computers at age seven in Haifa, Israel. What these three have in common is their youthful optimism and their dedication to one of IBM’s core values: innovation that matters for our company and the world.
This is no empty slogan: Today, IBM announced that it received a record 7,534 US patents in 2014, marking the 22nd consecutive year that the company topped the list of US patent recipients. Amazingly, on average, we receive more than one new US patent for every hour of every work day.
Hidden behind the raw statistics is an exciting insight: IBM’s young scientists, software programmers and engineers are making important contributions to the company’s innovation achievements. (Thoughts? Tweet to #patent, #invent.)
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As cognitive computing advances, it’s becoming obvious that these new capabilities will ultimately touch nearly every aspect of life–augmenting human intelligence and spreading expertise. Watson’s newest focus is on the customer experience.
We have all faced frustrations when we’re trying to find just the right product or service, comparison shop or get something fixed or updated. We want personalized attention and quick and easy answers to our questions. A newly announced alliance of IBM and Genesys, a leading provider of customer experience and contact center solutions, aims to help companies serve their customers better. Here’s a scenario explaining how the services will work:
By Steve Hamm
When scientists succeed at IBM Research, they tend to stay. Robert Dennard, the inventor of the DRAM, for instance, had been at IBM for 56 years when he retired earlier this year. But there are researchers at the opposite end of the seniority spectrum who are already making their marks—on IBM and the world.
One of them is Jeannette “Jamie” Garcia, a 31-year-old chemist who became a full-time employee at IBM Research just last November—after a one-year stint as a post-doctoral fellow. Jamie has done something quite remarkable: she spearheaded the invention of a new class of materials, which have the potential to shake up the aerospace, auto and semiconductor industries.
Jamie’s team at IBM Research – Almaden, which is led by chemistry pioneer James Hedrick, completed the work on the new class of polymers. Their advances were made public for the first time in an article published today in Science magazine.
By Jesse Dylan
In my work, I have had the opportunity to tell the stories of some of the most amazing, complex and innovative people and organizations helping to change the world. By being allowed a window into their work, I can make clear why it matters.
These people and organizations inspire–from the MIT Media Lab to George Soros and the Open Society Foundations to TEDx to the Yes We Can video that captured the hopefulness of the Obama-for-president phenomenon of 2008.
When Steve Simpson, the chief creative officer of Ogilvy & Mather North America, invited me to work together on a project with IBM to show how technology serves to make lives better, it was an opportunity to learn how one of the most innovative companies in the world thinks about an ever-changing world. The project is Made With IBM.
By Jon Iwata
In November 2008, with the world in the throes of a financial crisis, IBM offered companies and governments a bold invitation: “Let’s build a Smarter Planet.” We saw that the combination of instrumentation, interconnectivity and computer intelligence had created an unprecedented opportunity to make the world work better. We initiated a global conversation about the possibilities.
Today, most people see what we saw. We have engaged with thousands of clients to help them make their enterprises and industries smarter. And our belief in Smarter Planet has only grown stronger. It remains our point of view on the world and the future.
But the world doesn’t stand still, and neither have we. The technologies underpinning Smarter Planet—Big Data analytics (including IBM Watson), mobile, cloud, and new systems of engagement – are converging, and the transformation they are unleashing is accelerating. So IBM is moving beyond the “what” and “why” of Smarter Planet to the “how.”
We call this next phase “Made With IBM.” It is both a harvest of insights and an invitation to take this transformational journey with our company. We mean to show through hard evidence that IBM can be an essential partner in providing the technology and conceptual building blocks for the new world of work. We’re making a case for action.
By Steve Hamm
Aleksandra “Saska” Mojsilovic grew up in the former Yugoslavia before it splintered into nine nations, and, by the time she graduated with a PhD in electrical engineering from the University of Belgrade in 1997, “The world I knew didn’t exist anymore,” she says. Today, as a scientist at the IBM Research lab in Yorktown Heights, N.Y., she’s making it possible for people to understand how the world works much more deeply than every before–so they can transcend traditional boundaries and make better decisions in their private and professional lives. Continue Reading »
Today, IBM announced a major new initiative aimed at accelerating progress in the era of cognitive computing. Three years after IBM Watson’s stunning victory on the TV quiz show Jeopardy!, we have created a new business unit, IBM Watson Group, to be headquartered in New York City’s Silicon Alley. The organization is unique within IBM– integrating research, software, systems design, services and industry expertise. The goal is to be nimble and easy for business partners to deal with. Follow the live blog here. Tweets at #IBMWatson.
9:55 a.m. IBM CEO Ginni Rometty
We see a major shift in computing. This is as big as the shifts we lead in the history of computing. In the1960s, with the mainframe; in the 1980s, with the IBM PC; in the 1990s, with IBM global services. Today is another major step forward for us and our clients. Continue Reading »
By Jay Katzen
For our customers in the medical field, great research can enable great outcomes – from avoiding errors to ensuring patients feel comfortable and informed.
I know first hand how frustrating and anxiety-provoking a hospital visit can be. Not too long ago, I rushed to a hospital emergency room to seek treatment and was disturbed when my medical history wasn’t captured, tests weren’t explained, and no one helped me understand my diagnosis and treatment.
Fortunately, the consequences weren’t grave. Still, I see my experience as a symptom of a healthcare system where it’s difficult for doctors to easily research the clinical information needed to make decisions, given the time constraints they face. Continue Reading »