Share on Facebook0Tweet about this on TwitterShare on Reddit0Share on Google+0Share on LinkedIn0Share on StumbleUpon0Buffer this pageEmail this to someonePrint this page

When we want to start computing at biological scales and speeds – evolving today’s practical machine learning forward towards long-deferred visions of a more “artificial intelligence” – we’ll need to take advantage of new forms of hardware that transcend the strictly digital.

Digital computing infrastructure, based on switching digital bits and separating the functions of persisting data from processing, is now facing some big hurdles with Moore’s law. Even if there are a couple of magnitudes of improvement yet to be squeezed out of the traditional digital design paradigm, it has inherent limits in power consumption, scale, and speed. For example, there simply isn’t enough power available to meet the desires of those wishing to reach biological scale and density with traditional computing infrastructure, whether evolving artificial intelligence or more practically scaling machine learning to ever larger big data sets.

Read the entire article directly on Taneja Group website at: http://tanejagroup.com/news/blog/blog-systems-and-technology/is-it-still-artificial-intelligence-knowm-rolls-out-adaptive-machine-learni#.VZ1afUWtapc

7/8/15
Is It Still Artificial Intelligence? Knowm Rolls Out Adaptive Machine Learning Stack
Taneja Group
Mike Matchett
http://tanejagroup.com/news/blog/blog-systems-and-technology/is-it-still-artificial-intelligence-knowm-rolls-out-adaptive-machine-learni#.VZ1afUWtapc

Taneja Group

Taneja Group

Share on Facebook0Tweet about this on TwitterShare on Reddit0Share on Google+0Share on LinkedIn0Share on StumbleUpon0Buffer this pageEmail this to someonePrint this page

Related Posts

Subscribe To Our Newsletter

Join our low volume mailing list to receive the latest news and updates from our team.

Leave a Comment

Newsletter

Subscribe to our low-volume mailing list to receive important updates and announcements directly in your inbox.