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What is Machine Learning & why it is important?
Technology & Science / July 7, 2018

Machine Learning (ML) is new age computing technology. It was born from pattern recognition and theory of computers. It can learn without being programmed to perform specific tasks. Researchers interested in artificial intelligence want to see if computers could learn from data. The iterative aspect of machine learning is important because as models are exposed to new data, they are able to independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results. It’s a science that’s not new – but one that has gained fresh momentum. Machine learning is domain of engineering where algorithms and computer based programs are learnt from data and past experience and provides decisions and analysis based on their experience and learned knowledge. Machine Learning: Basic description Machine learning is a set of tools that, broadly speaking, allow us to “teach” computers how to perform tasks by providing examples of how they should be done. For example, suppose we wish to write a program to distinguish between valid email messages and unwanted spam. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. Machine learning is programming computers to optimize a performance criterion using example data or past experience. We need…

What is Artificial Intelligence (AI)?

Everything we love about civilization is a product of intelligence, so amplifying our human intelligence with artificial intelligence has the potential of helping civilization flourish like never before – as long as we manage to keep the technology beneficial. Recent trends in the arena of Machine Learning have paved the way for advancements in Artificial Intelligence, and with the advent of Context and Contextual Applications for various platforms, the field of Artificial Intelligence just keeps getting better and better Definition of Artificial Intelligence Artificial Intelligence (AI) is fundamentally transforming the way businesses operate. It is a combination of cutting-edge technologies that enables machines to think, comprehend, and execute tasks hitherto carried out by humans. AI can be considered as an intelligent robot which possesses the cognitive characteristics of a human being. “Artificial intelligence is part of computer science concerned with designing intelligent computer systems that is systems that exhibit the characteristics we associate with intelligence in human behavior”. Communication has been one of the important aspects of intelligent behavior where vision and speech are all used effectively for communication purposes. Speech recognition, computer vision and language understanding have been some of the goals of artificial intelligence, because the possession of…

What is Cognitive Computing
Technology & Science / February 11, 2018

Much of the excitement about cognitive computing is spurred by its enormous potential in learning, only a small fraction of which has so far been realized. The overarching goal here is to devise computational frameworks to help us learn better by exploiting data about our learning processes and activities. There are two important aspects of it—the mechanisms or insights about how we actually learn and the external manifestations of our learning activities. Cognitive computing is an emerging approach that builds upon a wealth of research and development work in Artificial Intelligence (AI). What is Cognitive Computing? Cognitive computing is the simulation of human thought processes in a computerized model. Cognitive computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. The goal of cognitive computing is to create automated IT systems that are capable of solving problems without requiring human assistance. The origins of cognitive systems work lie in cognitive science — a discipline that brings together researchers from the fields of psychology, linguistics, philosophy, computer science, and more recently, neuro-computing. We perceive “cognitive computing” as an approach that has emerged from, and attempts to subsume, the work…