Google today released its CADIE (Cognitive Autoheuristic Distributed-Intelligence Entity) – artificial intelligence technology into beta. The technology is supposed to aid us in simplifying many of the tasks that we do on the internet. As Google is the jumping off point for the majority of the Internet users, the belief is that the technology can end up saving massive amounts of time and increase productivity by 10%.
VLS’s Feature Analyst and LIDAR Analyst:
It is worth noting that the CADIE technology was first used in Feature Analyst and LIDAR Analyst to help in automated feature detection. The technology is the reason behind the 110% accuracy in feature detection as the “Autoheuristic Distributed-Intelligence Entity”, (term first coined by Abraham Konda), is able to learn and understand the feature under extraction and auto-extracts it. Dr. A. Phooles (Harvard University), believes that this technology will gain wide-spread acceptance, even though in the short-run people might have privacy misgivings about it.
Here is how CADIE is being used in various Google apps:
GMail – AutoPilot by Cadie – Like a human clone sitting at Google
GMail today released into beta “AutoPilot by CADIE”. The technology is supposed to allow you to kick auto-responses up a notch, by making them look authentic. The auto-responses are not just canned messages, but actually understand the information in incoming messages and respond appropriately.
The coolest part of the technology is that you can have 2 GMail accounts setup with AutoResponders and once you send a preliminary email, the 2 accounts can begin conversing with each other for a very long time.
To test it out, log in to your GMail account and click on “New! GMail AutoPilot”:
CADIE technology is also being applied to GoogleMaps to automatically suggest places to visit based on your previous map searches.
CADIE will continuously find and suggest images that will make those who view the images - happy. The hope is that the happy worker will be a more productive worker.
All your personal World Wide Website belong to CADIE