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Cognitive Computing

Dharmendra Modha, IBM Fellow

Dharmendra Modha, IBM Fellow and Chief Scientist, Brain-Inspired Computing

By Dharmendra S. Modha

For decades, computer scientists have been pursuing two elusive goals in parallel: engineering energy-efficient computers modeled on the human brain and designing smart computing systems that learn on their own—like humans do—and are not programmed like today’s computers. Both goals are now within reach.

And, today, as we launch our ecosystem for brain-inspired computing with a TrueNorth Boot Camp for academic and government researchers, I expect that the two quests will begin to converge. By the end of the intensive three-week training program, hopefully, early adopters will set out to show potential for these new technologies to transform industries and society.

The boot camp is a pivotal step in bringing brain-inspired computing to society by putting cutting-edge innovation in the hands of some of the best and brightest researchers who will begin to invent a wealth of applications and systems that we cannot even imagine today.

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John E. Kelly III, Senior Vice President, IBM

John E. Kelly III, Senior Vice President, IBM

By Dr. John E. Kelly III

This week, President Obama issued an executive order establishing the National Strategic Computing Initiative with the goal of ensuring that the United States leads in the field of high-performance computing. The initiative is aimed at producing computers capable of exascale performance–which is one billion billion operations per second, orders of magnitude faster than today’s most powerful computers.

IBM has been a pacesetter in large-scale computing ever since modern computers emerged in the 1940s. We have collaborated with the US government in producing and deploying computers in the national laboratories and government agencies that help the country retain its leadership in science and commerce, as well as safeguarding national security.

We believe it won’t be possible to achieve exascale performance in a way that is affordable and sustainable by following the path that computer scientists have been on for decades. Instead, it’s necessary to develop a bold new approach, which we call data centric computing, which addresses both the modeling and simulation applications that are the traditional focus of the high-performance computing community and today’s new applications in big data analytics and cognitive computing.

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SP John Kelly

John Kelly, Senior Vice President, IBM

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 »

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Guru Banavar

Guru Banavar, VP, Cognitive Computing Research

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 »

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July 10th, 2015
13:42
 

Yoshua Bengio, Professor of Computer Science, University of Montreal

Yoshua Bengio, Professor of Computer Science,
University of Montreal

By Yoshua Bengio

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 »

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In the IBM fab.

In the SUNY NanoTech Complex fab.

By Mukesh Khare

It’s an important moment in the history of the electronics industry. Researchers from IBM Research, SUNY Polytechnic Institute’s Colleges of Nanotech Science + Engineering and partners including GlobalFoundries and Samsung have produced advances that will enable the semiconductor industry to pack about twice as many transistors on the chips that power everything from data-crunching servers to mobile devices.

Working together, we achieved an industry first–producing working test chips at New York’s SUNY NanoTech Complex near Albany whose smallest features approach 7 nanometers. As a result, the industry will be able to place more than 20 billion tiny switches on chips the size of a fingernail.

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Wendy Hite, cognitive cooking pioneer

Wendy Hite, cognitive cooking pioneer

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 »

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Arvind Krishna, Dir., IBM Research

Arvind Krishna, Senior Vice President, IBM Research

By Arvind Krishna

Chemists at Unilever, the Anglo-Dutch consumer products giant, used to spend up to three months in their laboratories creating new formulations for liquid cleaning products. Now, they can perform the same work in 45 minutes or less–thanks to a collaboration between Unilever, one of the United Kingdom’s national laboratories and IBM.

Unilever product developers use iPads to set up tests and experiments, run simulations on an IBM Blue Gene/Q supercomputer at the UK’s Hartree Centre lab, and see their results in 3D visualizations that help them explore the data and make discoveries that otherwise might elude them.

This is an example of what’s possible when government, businesses and tech companies combine forces to bring the power of supercomputing and sophisticated data analytics to bear on business problems. It’s also an example of the kind of collaboration I expect to see flourish as a result of an agreement IBM is announcing today with Britain’s Science & Technology Facility Council.

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Selfie: Angel and IBMers

Angel Diaz, IBM Vice President, Cloud Technology & Architecture, with other young IBMers.

By Angel Diaz

When I was a young guy growing up on a farm in Puerto Rico, I was a neophyte when it came to computer science and mathematics.  I was so fortunate at an early age to be empowered by my mother to reach further. At 17, I left for college in America.

Back then, people growing up in less-developed places didn’t have much chance of succeeding in technology unless we left home and headed for major tech meccas such as Silicon Valley, New York and Boston.

But things are different today, thanks in part to cloud computing. This new approach to technology creates tremendous opportunities for young people everywhere to build services and mobile apps on ready-made cloud platforms–either as entrepreneurs or as employees of larger companies. Continue Reading »

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Social sharing, mobile computing and the Internet of Things have made data compression a part of our every day lives. The process of compressing data is put to work every time a photo or video is shared across social media or a weather sensor reports a temperature change. Continue Reading »

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