Cognitive Tech & You

Driver_free_car

When looking at cognitive technologies and their applications, there are a few developments in how all the technologies come together in the near future. A two crucial examples include autonomous vehicles and home automation.

Autonomous Vehicles

When discussing driverless cars, the company Tesla comes to mind. In the near future, these fully electric vehicles are expected to evolve to include autonomous driving, that is, the vehicles will drive themselves. Several cognitive technologies will be involved in this very complex process.

Robotics will be a major component in this fast evolving technology. The vehicle will have to have location sensors so that he vehicle will understand where its location is at all times. Proprioceptive sensors will be used in the case of self-maintenance, where the vehicle will realize if a maintenance check is coming up, or a part is becoming faulty.

Humans will have to interact with this type of robot through the use of natural language processing; such as telling the vehicle where the passenger needs to go. Additionally, to find its way around, there are uses cases for LIDAR, an active sensor technology, that needs to scan the environment around it as it drives the passenger safely to their location, taking into account obstacles on the roadway.

A successful autonomous vehicle application will require major developments in the field of cognitive technologies. Safety is the biggest factor. There is almost no room for error in how these technologies operate. This is still a very young application and all the technology hasn’t been developed to its fullest and safest potential as of yet, but it is evolving fast.

Home Automation

Eventually, the Internet of Things (IoT) will be all around us. Everything will have a microprocessor in it and be connected to the internet. Already we see smart thermostats, internet connected doorbells, and geotagged keychains so we don’t lose our car keys or pets. All of these applications in the home will have to work together in order to make a “smart home”, or as its sometimes called, the home of the future.

Location sensors will be a useful application to know when you leave the house. It will be able to turn the lights off, turn the television off, and close the garage door when the resident gets far enough away from the house. Speech recognition will have to improve in order to talk to all of these services that might be on the home network. Amazon Echo and Google Now already have applications where the user can talk to the “home base” and have various actions occur within the house hold; everything from ordering a pizza to pulling up a movie on Netflix.

With autonomous vehicles and home automation, the machine learning systems will need to improve over time with building upon user inputs, better natural language processing, and become better at unsupervised learning, that is AI needs to discover patterns on its own and determine the best course of action if the user isn’t 100 percent clear on their instructions.

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