ARTIFICIAL INTELLIGENCE – A peek into the future…
Science is not about doing things that people will believe. It must explore the phenomena that are out there, believable or not – Sue Savage-Rumbaugh
Throughout history, man’s desire to evolve, to create life has been his defining quest. To create a “Machine that thinks” has driven his efforts through the ages. Artificial Intelligence as a concept has been around for a long time; it has only been since the advent of computers and the evolution of the internet during the middle of last century that man has taken a quantum leap into replicating his self.
Over the last few centuries despite the phenomenal progress in mechanics, man’s achievements had been restricted to controlled movements. AI is the pursuit of creating a machine that can be its own; to think-act-learn like humans do. More recently the arrival of Machine Language and Robotics on the digital scenario has made the possibilities infinitely realistic.
Today AI is not just about technology it has become vastly interdisciplinary dipping into everything from linguistics and philosophy to cognitive and behavioral sciences and more, for information and inspiration. The design of AI is to encompass everything from the predictability of Logic to the fuzzy flavors of human behavior.
…Early Days of Artificial Intelligence (AI)…
The field of AI research was born at a workshop at Dartmouth College in 1956. Early research in AI was heavily funded; laboratories had been established around the world. One of the founding fathers of AI, Herbert Simon predicted,
“Machines will be capable, within twenty years, of doing any work a man can do.”
Progress slowed in the 1970’s and an “AI Winter” set in, a period when funding AI projects was difficult and the concept was put into “Cold Storage.” It was only in the late 1990s and early 21st century due to a massive explosion in computational power, new ties between AI and other fields were established and AI began to be used for logistics, data mining, medical diagnosis and other areas.
By and large the objective of artificial intelligence is to create technology which simulates human intelligence. AI is opening up greater avenues of engagement in the following areas…
Reasoning, problem solving – AI aims to evolve systems which imitate reasoning that humans use when they solve problems or make logical conclusions.
Knowledge – AI research revolves around building extensive knowledge about the world to enable machines to solve many of the problems which they are expected to solve.
Planning – One of the core elements of AI would be to develop the ability to set goals and achieve them.
Learning – Learning would be a fundamental concept of AI research because it will help evolve systems which improve automatically through experience
Natural language processing – Natural language processing would become core to AI because it provides the machines the ability to understand human language.
Perception – AI would continue to develop the ability to use input from sensors (such as cameras, microphones, tactile sensors, sonar and others) to deduce characteristics of the world.
Movement and Maneuvering – AI and robotics are inseparable building systems that enable object manipulation and navigation
Social aptitude – To predict the actions of others by understanding their motives and emotional states requires social intelligence and this would enable AI systems to make better decisions.
While technology is incredibly advanced and the machines are unbelievably fast today, the challenge is not with its capabilities but with encoding and simulating the complexities of human thought digitally.
Does the future of AI hold true to the potential it promises to deliver???
…only TIME will tell us…