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Apple has posted a video on yesterday’s iPhone 1.1.1 firmware update. Click here to go to the video page.

David Pogue also blogged about the new features here.

Apple has finally pushed out the WiFi iTunes iPhone firmware promised by Jobs several weeks ago and Pogue a couple of hours ago.

Fire up your desktop iTunes and connect your iPhone to download and install the update. And be prepared to wait, as this firmware takes several minutes to download and install. Far longer than I’ve seen with previous iPhone firmware releases.

Apple has also changed the Calculator icon a bit on the home screen. It now has the same appearance, with the orange equals sign etc., as the Calculator icon on the iPod touch. If you find any other differences, please post in the comments.

It is no accident that we are announcing GeoLocator™ 2.0 today, on the sixth anniversary of the September 11th attacks.

11 September 2001 crystalized Digital Reasoning Systems’ vision into a mission. Because we had already been working on discerning meaning inherent in unstructured data before the attacks, we were able to deliver a functional proof of concept of GeoLocator™ to the US Army National Ground Intelligence Center within a few months afterwards.

Our solution delivered superior accuracy and a more flexible architecture at a fraction of the cost of our competitors.

The same powerful technology used by intelligence professionals is now available to you.

Today we deliver GeoLocator™ 2.0 for everyone, government and commercial customers alike. GeoLocator™ 2.0 unleashes accurate, flexible, cross-platform geolocation for commercial applications. We have enabled straightforward integration into existing software systems using Java or Web Services APIs. We have also made significant further improvements in performance, administration, and analysis flexibility. And we are still far, far cheaper than our competitors.

GeoLocator™ 2.0 provides:

• Better performance (at least a 200% improvement over previous versions)
• Easier installation of the application and gazetteer (location database) versus competitive products
• Ability for customers to input their own locations as well as modify existing locations in the gazetteer
• A GUI for interactive administration and analysis as well as a command line interface for batch processing and scriptable control
• Built-in capability to export aligned locations into Google Earth, NASA World Wind, CSV, and other XML-based formats via standard XSLT transforms
• A variety of text markup features (see datasheet for more details)
• Web Services and Java API interfaces enabling the integration of GeoLocator™ functions into other applications
• Support for customer-specified metadata field tags that can be used in the location disambiguation process
• Enhanced application status and error reporting including configurable log file support

Access the datasheet for all the details including more information on capabilities, system requirements, and contacting Digital Reasoning Systems to evaluate GeoLocator™. Click here to read the GeoLocator™ datasheet.

Digital Reasoning Systems starts with the assumption that there is order inherent in the signal.

In other words, we treat text representations of human language as signals.

This video provides a concise overview of how Digital Reasoning Systems’ patented technology derives and uses that signal:

Watch this video to better understand how our core engine creates and uses multidimensional Point-of-View (POV) files. For more in depth information after the video overview, read our “Digital Reasoning Technology Overview” whitepaper.

Click here to access the PDF whitepaper.

It’s been a long while since I posted updates on my work at Digital Reasoning Systems. That’s about to change, in a big way!

Our key patent for discovering the meaning of words solely from unstructured data was granted by the USPTO on July 24, 2007 as US Patent No. 7249117. Click here to read the full patent or reference the TinyURL http://tinyurl.com/2h6nz4 as a shortcut.

Read the full press release on Forbes.com and check out this video tribute to the great thinkers in mathematics, science, technology and industry who made it possible for us to submit and receive US Patent No. 7249117:

As our CEO Tim Estes noted in the press release:

We believe this is a seminal moment in developing algorithms for understanding human language. The applications that will arise as a result of our patented technologies will allow machines to learn language much the way that children do and revolutionize the knowledge engineering process that is at the root of the most complicated systems.

Tim goes on to note that:

The implications for search engines, machine translation, and most knowledge-centric applications are immense. Finally, we can have broad machine understanding of what humans mean simply by reading what we say.

Meaning is inherent in the signal. Re-read that and think about the implications.

Powerful and awesome! And we’re just getting started unleashing that meaning…watch for more on my blog shortly.