By Dr. John Kelly III
World leaders from business, government and the non-profit sector are gathering this week in Nairobi, Kenya, for Global Entrepreneur Summit 2015, the first such summit to be held in sub-Saharan Africa. So it’s a good time to explore the potential for Africa and Africans to take advantage of the power of entrepreneurship and innovation to propel the continent forward.
IBM is committed to helping Africa fulfill it’s promise by providing information technologies to help address the continent’s challenges, through research collaborations with companies and universities, and by helping to foster innovation ecosystems in a number of cities. Continue Reading »
By Hendrik Hamann
Five years ago, a few of my IBM Research colleagues and I played a hunch. Large-scale solar power was taking off, but we realized that for solar to fulfill its potential for helping to produce a more sustainable energy future, it would have to be integrated into electrical grids. For that to work, you would have to know ahead to time how much solar power would be generated when and where. That realization spawned our solar forecasting research project.
Today, we have shown that we can generate accurate forecasts of solar energy (from minutes ahead to many days ahead), which in turn can have a significant impact on the energy business – and on the future of sustainable energy. Our preliminary findings, including a test conducted at ISO-New England, the grid operator serving Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island and Vermont, show that our system can be 30 percent more accurate than other state-of-the-art approaches. Continue Reading »
By Guruduth Banavar
With thousands of scientists, engineers, and business leaders focused on cognitive computing across IBM Research and the IBM Watson Group, IBM is pursuing the most comprehensive effort in the tech industry to advance into the new era of computing. Nobody has more people on it, a broader array of research and development projects nor deeper expertise in so many of the most significant fields of inquiry.
Yet we understand that to accelerate progress in cognitive computing, we can’t do this alone. That’s why IBM has been pursuing a strategy of forming deep collaborative partnerships with academic scientists who are among the leaders in their fields as well as opening Watson as a technology platform for others to build on. Continue Reading »
Humans have long dreamed of creating machines that think. More than 100 years before the first programmable computer was built, inventors wondered whether devices made of rods and gears might become intelligent. And when Alan Turing, one of the pioneers of computing in the 1940s, set a goal for computer science, he described a test, later dubbed the Turing Test, which measured a computer’s performance against the behavior of humans.
In the early days of my academic field, artificial intelligence, scientists tackled problems that were difficult for humans but relatively easy for computers–such as large-scale mathematical calculations. In more recent years, we’re taking on tasks that are easy for people to perform but hard to describe to a machine–tasks humans solve “without thinking,” such as recognizing spoken words or faces in a crowd. Continue Reading »
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 »