By Harry Kolar
New York’s Lake George is a pristine, 32-mile-long lake in the Adirondack Mountains that is noted for its water quality and clarity. While the lake is very clean, it faces multiple anthropogenic threats, including road salt incursion and several invasive species.
The Jefferson Project at Lake George, a joint research collaboration involving Rensselaer Polytechnic Institute, IBM Research, and the FUND for Lake George, is focused on protecting the lake and helping address the world’s looming freshwater supply challenges.
The project involves more than 60 scientists around the world (four IBM Research labs are involved), including biologists, computer scientists, physicists, engineers and chemists. Working as a virtual team, we’re pushing the boundaries in Internet-of-Things sensors, data analytics, and modeling of complex natural systems. Continue Reading »
By Steve Hamm
Chief Storyteller, IBM
Wendy Hite is a bit of a food snob. She grew up in South West Louisiana, where food and family are all mixed up in the great gumbo of life, and, for the longest time, she couldn’t imagine how she could improve on traditional Cajun-style cooking.
Until she met Chef Watson, that is.
She used the cognitive cooking discovery program to develop a crawfish deviled egg dish that was mighty tasty–familiar, in some ways, but also new to her. “This has been fun,” she says. “It gets you to try new things and to be more creative than you normally would be.” Continue Reading »
By Ron Ambrosio
You walk into a room at night and flip the light switch on the wall. The lights come on. You didn’t think twice about that …you were certain it would work. While we’re not at that point everywhere in the world yet, it is true of most industrialized regions that electricity is a highly reliable resource. But the reality behind that simple action of turning on a light switch is a constantly evolving list of uncertainties that utilities deal with 24/7.
Uncertainty takes many forms in the utility industry, from the health of individual devices as they age, to volatility of fuel prices, to the behavior of you, the consumer, and your use of electricity or natural gas. And uncertainty can be equated to risk — the risk of failing to achieve both operational and business objectives. That’s not a risk any business wants to take. Continue Reading »
By Bob Picciano
Over the weekend, a room full of top developers competed in a hackathon in San Francisco–vying for bragging rights to coding on top of the Spark data-processing engine. The winners will be announced later, but, based on the results of an internal IBM hackathon a few weeks ago, I can give you the bottom line: these competitions show that Spark could shake up data analytics just like the Linux operating system blew the lid off the Internet a decade ago.
Today, large-scale data processing is available mainly to corporations, government agencies and universities. Spark, an open source software project under the Apache Software Foundation umbrella, has the potential to place these capabilities at the fingertips of all types of people and organizations all over the world. The goal: deeper and faster insights. Continue Reading »
By Dario Gil
Silicon deserves lot of credit for enabling the digital revolution. Silicon-based chips power everything from cell phones to supercomputers.
Light is another critical factor in our digital lives. Behind the scenes, fiber optic cables carry a flood of voice and data communications for the Internet, telephone lines and cable TV.
But I believe that the real magic happens when light and silicon meet–in the realm of silicon photonics.
IBM Research scientists and engineers have achieved a major milestone that could accelerate progress in this area. They have invented a silicon photonics device that combines electrical and optical components on a single chip, and which can be mass-produced using conventional chip manufacturing techniques. Read about the technical details here.
This breakthrough paves the way for game-changing advances in everything from high-performance computing to Internet-scale data centers. By easing data traffic jams in all sorts of computing and communications systems, our technology enables cloud computing and big data analytics to achieve their full potential.
By Jeffrey Coveyduc and Emily McManus
Imagine being able to ask a panel of TED speakers: Will having more money make me happy? Will new innovations give me a longer life? A new technology from IBM Watson is set to help people explore the ideas inside TED Talks videos by asking the questions that matter to them, in natural language.
Users will be able to search the entire TED Talks library by asking questions. Then they’ll be offered segments from a variety of videos where their concepts are discussed. Below each clip is a timeline that shows more concepts that Watson found within the talk, so that users can “tunnel sideways” to view material that’s contextually related, allowing a kind of serendipitous exploration.
Today, IBM and TED are showing a demo of the technology at World of Watson, an IBM symposium in Brooklyn, New York, aimed at expanding the role of cognitive computing in society.
By Dr. Lukas Wartman
I have the dubious distinction of being a famous cancer patient. I’m an oncologist who specializes in leukemia; I got leukemia; and I’m cured, at least for now, thanks to advances in genomic medicine and the efforts of some brilliant physicians and researchers.
My health was broken. It took some of the best minds and science in the world to put me back together again.
Unfortunately, in spite of advances in gene sequencing and oncology, too few cancer victims have outcomes like mine. The genomic treatment I received, an example of precision medicine, simply isn’t scalable to millions of people right now.
This is where IBM Watson could help. Using Watson’s cognitive computing capabilities, I hope it will be possible for oncologists like me to quickly mine insights from the immense amount of genomic data that’s becoming available about individual patients by using Watson to identify potential drugs that target our patients’ specific genetic profiles.
By Masaaki Tanaka
When I came to work for IBM as a designer in the Tokyo Interactive Experience’s User Centered Design lab last September, I expected to focus on enterprise computing. But, much to my surprise, the project I’m working on now for an IBM client has me imagining the digital lifestyles of a certain class of individuals–Japan’s senior citizens.
In fact, the target customer for Japan Post’s just-launched online Watch Over service is my own father. My dad is a 75-year-old retiree who lives alone in a rural area in Saga Prefecture, in the south of Japan. He has never touched a computer. He rides a bike rather than driving a car, so he’s cut off from his friends and it takes him 20 minutes to pedal to the nearest convenience store. I hate to think what would happen if he had a medical emergency. Continue Reading »
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.