The Real World of Artificial Intelligence
The online streaming choices offered today can let you circle back around to yesteryear and look at what you missed.
The Amazon streaming service is offering the X-Files television series, and the show lets viewers revisit some of their nightmares from the 1990s.
One of the episodes from season one focuses on an Artificial Intelligence network that controlled a building’s infrastructure such as locking doors, turning off lights, running the elevator, turning off and on the air conditioning system, and other maintenance operations. No voice commands, it just performed the operation.
As you may have guessed, the AI brain rewrote the code execution, and the network went rogue and started knocking off people and, in this case, using the elevator to freefall an unlucky person several stories to a sudden stop at the bottom. It was protecting itself from being shut off and, worse yet, the funding program cancellation that would have increased its functionality.
In a nod to today’s environment, FBI agents Mulder and Scully gave it their version of the “Wanna Cry” virus and shut the whole thing down but not before several bad actors tried to get their hands on it.
The world is not in danger of a rogue AI device, yet. We are not at the “Blade Runner” stage. Humans still have the upper hand.
Today, Cloud computing gives a helping hand, a Cloud network router hand, if you will, to AI.
In an article in physicsworld.com, the author points out that vast amounts of data sets from machine learning deposited on virtual drives need to be shared across the engineering AI development community.
The Cloud is and will be a significant player in the AI development world.
As the article points out, “At large science facilities, data streams that used to be megabits per second are now hundreds of times faster, sometimes even more, as detector upgrades come online, and new instruments are installed. That’s a lot of data to analyze and verify.”
In the IT development and scientific world, collaboration is key. Many times, that person is not across the hall or in the same building. They may be several states away. Cloud computing is the gateway to two professionals discussing a challenge and a solution to a complex AI development problem.
One of the follow-up posts about cloud collaboration offers that different scientific fields need different data requirements and varied support conditions. Solid, dependable Infrastructure supports these demands.
This is where Cloud computing also assists because three key strengths of the technology are:
- Reducing Infrastructure Costs
- Infrastructure Flexibility and Agility
- Time Reduction for Maintaining Infrastructure
Cloud computing technology can merge with the AI community to create the next “Big Thing” to do good things in the areas of medicine, logistics, and safety.
With that, “Alexa, lights off, music on.”
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Chief content and technical writer
Rick Bretz possesses comprehensive experience in several subjects including video editing and production, radio/TV and journalism writing, videography, radio broadcasting, IT Management, Information Security and Assurance. He also works as a Senior Cyber Security Engineer for Vulnerability Management, Service/Infrastructure Operations and Platforms Support for the government. Mr. Bretz also is a documentation and technical writer for the Veteran Administration’s Continuous Readiness in Information Security Program. He also served in the US Army beginning in 1979, graduating from leadership schools and from Journalism, Broadcasting, Newspaper Editing and Public Affairs Supervisor courses. He retired from the Army with many writing and broadcasting awards to accept video production and management positions. He holds a BS degree in Information Technology with a Specialization in Security Assurance from Capella University and has a Security + Certification from CompTIA. Mr. Bretz also writes his own blog on topics that interest him that can be reached at pastparallelpaths.com.