|
![]() |
______
April in New York with SNS! Sign Up Now for our New year, new season, new month, new tilt - Returning to the elegant - Lotte New York Palace Hotel With SNS CEO Mark Anderson and special guest Bill Ribaudo, Managing Partner, Digital Risk Venture Portfolio, Deloitte & Touche Register Now at www.stratnews.com/events/newyork-dinner/
Many thanks to SNS Gold Platinum Partner Oracle: And to Deloitte for its generous sponsorship of this special evening:
Publisher's Note: In the last few years, the SNS FiRe conference has evolved into a sort of incubator for new systems, ideas, and understanding in advanced computing. This includes new chip concepts and designs, such as the SNS PRP (Pattern Recognition Processor), IBM's True North, the KnuEdge processor, Micron's (and Intel's) new memory designs, AMD's new GPUs, and others. On the systems and programming level, participants have seen onstage the creation of what we're calling Flow Systems and the very-high-level programming language called Pictorial Processing. And, last but not least, the Pattern Computer system (www.patterncomputer.com) was born at FiRe and has since become one of the most amazing stories in advanced computing today. (Disclosure: As its founding CEO, I have an obvious bias on this topic.) At FiRe 2018, we again moved the needle in some new ways, including the featured launch of a new company, Zoolingua, that will use AI to communicate with animals. But in the midst of all this exciting change, there's an obvious need for a higher-level, rational discussion about what "AI on the bleeding edge" really is and really is not. All of us involved in this world know that there are walls being hit (as you'll see in the conversation below), returns on cycles or investment or power consumption that aren't yet sustainable, and general issues with the shortcomings of "narrow AI" that most need our communal attention. Finally, we also have a deep need to identify where we all want machine learning to go next, and for what purposes. While we marvel at AlphaZero's performances in the game of Go, there are much more complex, more interesting, and more serious scientific and business applications waiting to be directly addressed. After all, what's more complex - the game of Go, or a cell? No contest there. In this week's discussion, our members will have the delightful opportunity to learn from three global experts who sat together at our recent FiRe conference and discussed all of these questions with moderator Russ Daggatt. If you are in any way involved in AI, you'll be glad we were able to bring you this fireside chat. Drag your chair over, and fasten your seat belt. - mra
A Conversation with Tom Conte, Professor, Schools of Electrical & Computer Engineering and Computer Sciences, Georgia Institute of Technology; Hosted by Russ Daggatt, Founding General Partner, Denny Hill Capital FiRe 2018 Conference Thursday, October 11, 2018 Stein Eriksen Deer Valley Park City, Utah Photos 2018 Kris Krg and Future in Review
Russ Daggatt: So, you've probably all heard of the Singularity - that point where a powerful super-intelligence will qualitatively surpass all human capabilities, and where our super-intelligent machine overlords would either kill or enslave us, or cure mortality and disease and deliver Heaven on Earth. The former vision is expressed in the story of the child who asks their father, "Father, is the Singularity going to happen before I die?" And the father says, "Yes, right before." [Laughter] But we're not talking about that kind of artificial intelligence - strong artificial general intelligence. Rather, we're focusing here on what's happening now, or narrower, weak AI. What's happening now; we're making a three- to five-year time frame rather than a 30- or 50-year time frame. I'm just going to quickly introduce the panelists, but check out their bios in your FiRe booklet. [Ed. Note: Full panelist bios follow this transcript.] Tom Conte is founding co-chair of the IEEE Rebooting Computing Initiative and a professor at Georgia Tech. Lorien Pratt is chief scientist at Zoolingua. For 35 years, she's been delivering AI in various forms. And Joseph Smarr: senior staff engineer at Google, working on all manner of things that relate to this topic. We're already surrounded by narrow AI, depending on how you define it - anything from your antilock brakes to the Google search engine or Alexa. Your smartphone is a little AI factory. So how do we define AI? Of course, that depends on how we define intelligence. [Laughter] Tom, how would you define AI? |