AI is the science of making machines more human-like in their thinking. It has been used in medicine, mechanics, and public infrastructure. Researchers are developing AI with decision-making systems and active learning to interpret human intention and predict human actions. The future of AI is full of exciting possibilities.
The term artificial intelligence (AI) was first coined by computer and cognitive scientist John McCarthy in 1956 to describe “the science and engineering of creating intelligent machines”. In fact, it is the science of making machines more human-like in their way of thinking. A prevalent theme in pop culture and science fiction, AI is also behind some of the most innovative advances in modern medicine, mechanics, and more.
In 2008, Henry Ford Hospital employed the use of three-dimensional (3D) robotic tools to surgically remove a diseased kidney. The 3D robotics procedure, which was minimally invasive, resulted in faster healing times, less blood loss, and better cosmetic outcome. Researchers have also made recent advances in the development of robotic surgery, whereby doctors would be able to perform surgeries remotely from a computer console. Also for medical purposes, the popular Nintendo Wii video game system, which uses motion-sensitive artificial intelligence, has been used to treat burn victims as part of a therapeutic stretching regiment.
AI has also been used in public infrastructure in recent years, in the form of tracked robots that can detect weak spots in power lines. The US military, for example, has employed the assistance of artificial intelligence in its machinery in the form of vehicles and other devices that can autonomously detect explosives.
While it’s difficult for researchers to develop forms of AI that accurately mimic the fluid movements of humans, bipedal robots have been developed with a special “heavy” balancing ability to facilitate their mobility. It seems that the biggest challenge for researchers is to instill AI with decision-making systems that allow them to find alternative approaches not already within their framework of knowledge. Algorithms are currently being developed to find a way around this problem through an active learning approach. This would allow AI to “learn” by mimicking human tasks, with the ultimate goal of creating cognitive systems that can interpret human intention and predict human actions.
The future of AI stands on the brink of endless exciting possibilities, which could make their way into a home, office, or neighborhood near you in the not-so-distant future.
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