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By Author : Indrasen Poola,Industry Consultant and Technologist , in Silicon Valley , California

Artificial Intelligence, a scientific breakthrough which implies the intelligent behaviour by machines acting similar to human reasoning; machines tends to mimic the cognitive function of humans including the problem solving attribute, speech and other human characteristics.
“A single person can easily get bored trying to keep track of several monitors used in security surveillance that is why training computers to monitor all these have really made a lot of sense. Using the security algorithm, the computer is able to raise alarm when it sees a threat alerting the security personnel who then swing into action immediately” said Indrasen Poola of Industry Consultant,working in Silicon Valley ,California
The first of its kind artificial intelligence discovery was made by Norbert Wiener, designed by Newell and Simon in 1955 while John McCarthy coined the term artificial intelligence and is regarded as the Father of artificial intelligence.
Most people use artificial intelligence (AI) both consciously and subconsciously, artificial intelligence has left the realm of been a science manipulation to being part of our day to day lives. It’s influence, complexity and effectiveness is increasing over the years. They come in virtual personal assistant platform such as android, iOS, Windows mobile, etc that makes use of voice to help find useful information.
Machines have now been programmed to do so many things such as driving a car in a way an human will do, online customer support where customers relates with machines as though relating with an human customer care representative, they also write very simple stories that has no complexity such as financial report, real estate summaries and other data driven reports.
Recently researchers from MIT's computer science and Artificial Intelligence Laboratory (CSAIL) have gotten closer to making machines and robots able to see and identify objects, understand commands and to distinguish specific tool in the toolbox from other ones of similar shapes and sizes. In a new paper that was presented, an Alexa-like system that allows robots to understand a wide range of commands that require contextual knowledge about objects and their environments.
Most approaches to robot learning have focused only on semantic memory a memory based on general facts like the sky is blue which obviously leaves a big knowledge gap about events or facts that may be relevant context for future actions. However, from the knowledge base using episodic memory, robots can reason, infer meaning, respond to commands and can observe a range of visuals and natural language to glean about an object's size, shape, position, type and even if it belongs to somebody.

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Author : Indrasen Poola,Industry Consultant and Technologist , in Silicon Valley , California
Tel: 510-491-8521

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