ARCHITECHT Daily: If you read only one thing about AI today ...

... make it this analysis of Google DeepMind's AlphaGo system by Andrej Karpathy of OpenAI. (Bonus: i
ARCHITECHT
ARCHITECHT Daily: If you read only one thing about AI today ...
By ARCHITECHT • Issue #89 • View online
… make it this analysis of Google DeepMind’s AlphaGo system by Andrej Karpathy of OpenAI. (Bonus: it’s remarkably easy to read for a piece about deep learning models.) (Also, a disclaimer: OpenAI does research, too, and Karpathy acknowledges a bias.)
The latter aside, I think it’s a fair assessment of some of the shortcomings of AlphaGo as a centerpiece for discussions around how far AI has advanced. As he notes, it’s still a very narrowly applicable system that can play Go and, presumably, very little else. In a recent ARCHITECHT Show podcast appearance, guest Bradford Cross predicted AlphaGo could suffer the same fate as IBM’s Watson—lots of attention and hype, and then a storm of criticism when it can’t deliver in the real world.
However, as Karpathy also explains, Google is not IBM and AlphaGo is not Watson:
“AlphaGo does not generalize to any problem outside of Go, but the people and the underlying neural network components do, and do so much more effectively than in the days of old AI where each demonstration needed repositories of specialized, explicit code.”
So even if AlphaGo itself was a research experiment that turned into a PR opportunity, it does suggest that DeepMind has the people and technologies at its disposal to tackle even bigger applications without always reinventing the wheel. Certainly, DeepMind is working on lots of other research projects, including its famous game-learning systems, that might be even more interesting than AlphaGo.
To the point about Watson, though: DeepMind has also been attempting to take its technologies into the real world, specifically with the National Grid and National Health Service in the United Kingdom. The latter has gotten DeepMind into some hot water with regard to how it went about gathering patient data and what it planned to use that data for. As I’ve noted here several times, legal and regulatory issues have a special kind of way of complicating real-world applications—for better and for worse—so at some point Google and DeepMind will need to prove they can master that game, as well.

Sponsor: Cloudera
Sponsor: Cloudera
Artificial intelligence
Sponsor: DigitalOcean
Sponsor: DigitalOcean
Cloud and infrastructure
Media partner: GeekWire
Media partner: GeekWire
All things data
Did you enjoy this issue?
ARCHITECHT

ARCHITECHT delivers the most interesting news and information about the business impacts of cloud computing, artificial intelligence, and other trends reshaping enterprise IT. Curated by Derrick Harris.

Check out the Architecht site at https://architecht.io

Carefully curated by ARCHITECHT with Revue. If you were forwarded this newsletter and you like it, you can subscribe here. If you don't want these updates anymore, please unsubscribe here.