This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.
Imagine having to run to your local library and flip through the pages of an encyclopedia every time you saw a dog or cat in the street and wanted to know what its species is. That is pretty much how artificial applications function currently.
Artificial intelligence can predict stocks, diagnose patients, hire job applicants, play the games of chess and go, and do many more tasks on par or better than humans. Humans still have an advantage however: They have intelligence at the edge. Continue reading
What I’m mentioning a lot these days (and hearing about it as well) is the chaotic propagation and growth of the Internet of Things. With billions of devices slated to connect to the internet every year, we’re going to be facing some serious challenges. I’ve already discussed how blockchain technology might address connectivity issues for huge IoT ecosystems.
But connectivity accounts for a small part of the problems we’ll be facing. Another challenge will be processing and making sense of the huge reams of data that IoT devices are generating. Close on its heels will be the issue of latency or how fast an IoT system can react to events. And as always, security and privacy issues will remain one of the top items in the IoT challenge list. Continue reading