Vote for this as the coolest IBM 5 in 5 prediction by clicking the “Like” button below.
Read and in-depth blog post from IBM Research about the technology underlying the prediction.
Join in the Twitter conversation at #IBM5in5
IBM, MIT Sloan School of Management and Harvard Business School today are sponsoring a symposium at the the two universities. The morning topic: How advances in information technology can help improve productivity, and improve incomes and create jobs for the 99%. It’s being followed this afternoon by a mock Jeopardy! match between Watson, IBM’s very smart computer, and teams from MIT and HBS.
Teams of three students from MIT/Sloan and HBS take on IBM’s Watson. (This is only the second contest matching Watson against collegians. In the previous contest, Watson beat teams from Carnegie Mellon University and the University of Pittsburgh. Pitt came in second, much to the chagrin of rival CMU!)
Harvard wins the first question, with “What is Belize?” Answering: countries in central America, ending with “e”
But then Watson takes over, running the category.
The machine picks “Who’s Your Daddy Company?” as the next category, eliciting a huge hook of laughter from the audience.
They finished the Jeopardy! round, with Watson, $8600; Harvard, $5200 ; and MIT, $-200 .
(I got disconnected from HBS’s Wi-Fi at a crucial moment, destroying the coverage of the second round. Grrrrr)
Clue: Finding the spot for this memorial caused its creator to say “Americans will march across that skyline.”
The question: Mt. Rushmore.
Harvard and Watson answer correctly. MIT does not.
Final score: Watson, $53,601; Harvard, $42,399; MIT, $100.
!!!!! Continue Reading »
No computing paradigm lasts forever, so new approaches must be found to support the next phase of computing: learning systems. IBM Research’s colloquium, Frontiers of IT, being held today at the Watson Lab in Yorktown Heights, N.Y., explores disruptive innovations that could utterly transform the industry over the next two decades.
To Tweet or follow the commentary on Twitter, use #ITfrontiers.
4:15 pm – 5:15 pm Panel: The Next Grand Challenges in Computing
What is it? How should it be design and conducted?
Jim Schatz, Johns Hopkins
Applied Information Sciences
Former director, R&D, National Security Agency
My challenge for IBM Reserach is to put together a complete and formal proof for Fermat’s Last Theorem, one of the major theories of mathematics.
(Fermat’s Last Theorem states that no three positive integers a, b, and c can satisfy the equation an + bn = cn for any integer value of n greater than two.)
We need computers to generate and prove new theories. “Where we’re going is the fully automated mathematician.”
“It’s the next generation of mathematics, and the implications for humanity will be profound.”
He’s asked: The implications for business and society?
“Can’t say. But every bit of mathematics that has been invented has been applied. The mathematics that comes out of this will get past the limitations we see in computing. You’ll have to trust me on this one: If we build it, they will come.”
Flybridge Venture Capital
IBM is the eco-friendly company, applying IT to smarter cities and a smarter world. The challenge is for IBM to build a high-performance, data-class server that operates in a carbon neutral footprint. Also, make the process for building it eco-safe and carbon neutral, and the parts should be recyclable. And it should be built in the United States.
Marketing strategy, future consumer demands
We’re on the brink of a new society. We need to rethink things. Thanks to computing and mobile technology we have empowered people. We have digital natives who are coming out into the adult world. They have different expectations and mindset. They expected to be connected. That will act as a change catalyst and set new rules, and help define our next grand challenge.
“The grand challenge is we can use the smarter and network society not to play chess or jeopardy, but address climate change, aging population, scarce resources, and poverty. These are the global challenges.”
“We have to do it on a global scale and we have to have system were we include everyone.”
His startup provides information for tracking the pharmaceutical industry supply chain.
He suggests that IBM develop a system for feeding back consumer input to the producers of products and services. It’s “reverse logistics.
You could empower people to use their cell phones to send feedback. Leverage crowdsourcing. You add an electronic record to cash-based transactions.
Moderator: Irving Wladawsky-Berger
Chairman Emeritus, IBM Academy of Technology
We are living in an increasingly connected, complex and unpredictable world. If you need to find out what’s going on and made decisions, how do you do it in this kind of world? You can take a more statistical approach.
The grand challenge is: is there something IBM can do to formalize the transition from the traditional management world to one where people use these sophisticated new tools to improve the way they make decisions.
By Dario Gil
When IBM’s Watson defeated two past champions on TV’s Jeopardy! game show last February, it awoke many people to the awesome power of computing. Watson demonstrates that computers are at last becoming learning systems–capable of consuming vast amounts of information about the world, learning from it and drawing conclusions that can help humans make better decisions.
At IBM Research, we believe that learning systems will shape the future of information science and the IT industry, and that Watson represents a very significant step on that journey.
But every innovator needs a target to aim for, so, after the Jeopardy! challenge, we’re searching for the next “grand challenge” to will drive the next advances in Information Technology. To help shape our thinking, we’re engaging in a conversation about the future of computing with scientists and business leaders at an IBM Research Colloquium on Friday at the lab in Yorktown Heights, N.Y. The questions we’re asking are straightforward: What should the next grand challenge be? How should we design it? How should we pursue it?
We want to throw a wider net, as well. The Jeopardy! contest inspired a team of IBM and university researchers to create a system that could beat the best Jeopardy! champions. What “grand challenge” would you choose? Hopefully, the colloquium and follow-up conversations will help us set an audacious goal.
( To follow live blogging from the colloquium from 10 a.m. to 5:15 p.m. on Friday, bookmark here and come back when the event is live.)
When we think of the systems that make up a smarter planet, what typically comes to mind are industries like manufacturing, transportation, energy, or banking. But there is another ‘industry’ that needs to become smarter. We might call it the humanitarian industry. That is, the system that creates a safety net to support society and is made up of philanthropies, social services, education organizations, NGOs and government agencies.
In many ways, this is the most human of all systems. So it is ironic to consider how Watson, a computing system, could help us solve civic, social and cultural challenges and make smarter humanitarian decisions. But Watson’s deep QA technology presents new possibilities to do just that. Through private sector collaboration with nonprofits, Watson can become the next innovation to be used as a force for societal good.
The excitement about IBM’s computer, Watson, and its appearance on the Jeopardy! game show rose to a feverish pitch as the man versus machine drama played out on television earlier this week. The machine won–by no means a foregone conclusion. The episode proved that a small team of highly-motivated geniuses backed by an ambitious, deep-pocketed corporation can create a machine capable of beating the most expert of humans at a sophisticated mental game. It is truly a remarkable moment in the history of computer science and innovation.
Yet in Stephen Baker’s book about the contest, Final Jeopardy: Man vs. Machine and the Quest to Know Everything, the most interesting questions are not about machines but about humans. This is intentional. On page 18, Baker writes that, whether the computer won or lost, it is his hope that it “might lead millions of spectators to reflect on the nature, and probe the potential, of their own humanity.”
TV’s Dr. Gregory House may be brilliant, but, frankly, he could use some help from IBM’s Watson–which is looking for a new challenge now that it has beaten the top human champions at Jeopardy! “House eventually gets to the right diagnosis, but he typically saves the patient only at the last minute,” says Dr. Eliot Siegel, a radiologist and director of the Maryland Imaging Research Technologies Lab at the University of Maryland School of Medicine. “Watson would give House a much higher level of expertise. He’d lose some viewers, but he’d practice better medicine.”
All kidding aside, Siegel believes that a version of Watson designed for the healthcare industry “could revolutionize the way we practice medicine.”
And Siegel has the opportunity to help make that happen. IBM and Nuance Communications today announced a joint effort aimed combining Watson’s advanced analytics with Nuance’s speech recognition to create services for the healthcare industry. They’ll be assisted by physicians and researchers at Maryland and Columbia University Medical Center. The two companies hope to bring a solution to market in the next 18 to 24 months.