Artificial Intelligence (AI) and Machine Learning

In this blog we will briefly get an introduction to Artificial Intelligence its attributes and real world application. AI is already changing and disrupting the way in which many jobs or functions that are currently performed by human beings, automating these using data analytics and computation. Many technology companies today, namely Google, Facebook, Uber to name a few are using the vast amounts of data gathered daily from users to predict how users of their services will act or react to various stimuli to drive certain behaviors, engagement and purchasing decisions.

Artificial Intelligence

AI is typically defined as the ability of a machine to perform cognitive functions we associate with human minds, such as perceiving, reasoning, learning and problem solving. Examples of technologies that enable AI to solve business problems are robotics and autonomous vehicles, computer vision, language, virtual agents, and machine learning.

Machine Learning

Most recent advances in AI have been achieved by applying machine learning to very large data sets. Machine learning algorithims detect patterns and learn how to make predictions and recommendation by processing data and experiences, rather than by receiving explicit programming instruction. The algorithms also adapt in response to new data and experiences to improve efficacy over time.

Deep learning

Deep learning is a type of machine learning that can process a wider range of data resources, requires less data preprocessing by humans, and can often produce more accurate results than traditional machine-learning approaches. In deep learning, interconnected layers of software-based calculators known as “neurons” from a neural network. The network can ingest vast amounts of input data and process them through multiple layers that learn increasingly complex features of the data at each layer. The network can then make a determination about the data, learn if its determination is correct, and use what it has learned to make determinations about new data. For example, once it learns what an object looks like, it can recognize the object in a new image.

AI holds great promise for how the world will function as soon complete interconnected networks that link humans with machines/computers/devices mature, however this comes with some potential hazards. What happens if these AI enabled networks/machines eventually become smarter than human beings? The below video explores where the world is headed with this game changing technology..

Why AI now?

A convergence of algorithmic advances, data proliferation, and tremendous increases in computing power and storage has propelled AI from hype to reality. A simple example is the computational power that people walk around with everyday in their smart phone devices. As long as these users have access to an internet connection, there is no limit to the amount of computational capabilities and the ability to transact and interact globally. AI is going to take these capabilities to the next level linking humans to devices, vehicles and any infrastructure linked to neural networks.

Who ever leads in the development of AI by 2030, will rule the world till 2100

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