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The Topic-Mapper software development kit (SDK) by ai-one inc. reads and understands unstructured data without any human intervention. It allows developers to build artificial intelligence into almost any software program.

Unlike other machine learning approaches, ai-one’s technology extracts the inherent meaning of data without the need for any external references. A team of researchers spent more than eight years and $6.5 million building what they call “biologically inspired intelligence“ that works like a brain.

First, it automatically creates what ai-one describes as a “lightweight ontology” (LWO), The system determines the relationships between data elements as they are fed into the system. The primary benefit of LWO is that it is completely objective -- it makes associations without editorial (human) bias. LWOs are also very adaptive, automatically recalculating when ingesting new data. Unlike traditional ontologies, LWOs require no maintenance.

How could Google, the high priest of the cloud and the parent of Android, analytics and AdWords/AdSense, not be a standard-setter for platform creation?

Amazon's strategy seems to be to embrace "open" Android and use it to make a platform that's proprietary to Amazon, that's a heck of a story to watch unfold in the months ahead. Even more so, knowing that Amazon has serious platform mojo.

Case in point, what company other than Apple could have executed something even remotely as rich and well-integrated as the simultaneous release of iOS 5, iCloud and iPhone 4S, the latter of which sold four million units in its first weekend of availability?

Well now that Apple has gone and integrated the most sophisticated piece of AI to ever to see the light of the consumer market into its iPhone 4S, I thought it was time to brush some dirt off of Quora’s shoulder and shine a light on what the future of the company could hold.

Quora’s founders and their first hire—designer Rebekah Cox—created the core of the most impressive “subjective knowledge extraction” machine ever constructed.

By combining an answer voting mechanism and a reward addiction loop (upvotes are crack) with a strict identity requirement and a one-to-many follower model, Quora started solving the problem of extracting high-quality experiential knowledge out of humanity’s collective head and getting it into structured form on the internet. What’s more, Quora is also using humanity’s collective wisdom to rank it.

Although Siri is limited in what it can do, what it does do, it does well. And based on my experiences with Siri so far, I think it illustrates what I think of as the “invisible interfaces” of future connected devices. Admittedly, that sound like a bold claim, but the reality is this: Thanks to the “Internet of Things,” more devices are gaining connectivity that makes them smarter and more useful. At the same time, computing interfaces haven’t changed all that much in the past several decades. They’re going to have to, however, as we can’t have a multitude of different interfaces across a myriad of connected devices in this new world.

The key for potential success here is in Siri’s uncanny ability to understand not just natural language input, but also context. This is great for smartphones where we have so much personal data such as contact names, addresses, phone numbers and digital music tracks. Even better is when Siri works with multiple apps or services on our handsets; tying them together through a simple command. “Remind me to take out the trash when I get home,” for example, leverages both the Reminders application and the integrated GPS radio of an iPhone.

“Close the windows and turn on the air conditioning if the outside temperature rises above 85 degrees,” could be a real-world example in just a few years time.