LOREM IPSUM
MACHINE LEARNING
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.
IBM has a rich history with machine learning. One of its own, Arthur Samuel, is credited for coining the term, “machine learning” with his research (PDF, 481 KB) (link resides outside IBM) around the game of checkers. Robert Nealey, the self-proclaimed checkers master, played the game on an IBM 7094 computer in 1962, and he lost to the computer. Compared to what can be done today, this feat seems trivial, but it’s considered a major milestone in the field of artificial intelligence.
Over the last couple of decades, the technological advances in storage and processing power have enabled some innovative products based on machine learning, such as Netflix’s recommendation engine and self-driving cars.
LOREM IPSUM
VOICE ASSISTANTS
It's software that carries out everyday tasks via voice command. It’s brings AI and machine learning together to recognize our voice and do what we ask it.
Voice assistant software can be found on smart speakers, smartwatches, mobile phones, tablets and other devices. The most well-known are Alexa (Amazon), Siri (Apple), Google Assistant (Google) and Bixby (Samsung), which are taking over our homes thanks to their compatibility with washing machines, light bulbs, ovens, air conditioning units, etc.
LOREM IPSUM
DATA SCIENCE
Data visualization is the practice of translating information into a visual context, such as a map or graph, to make data easier for the human brain to understand and pull insights from. The main goal of data visualization is to make it easier to identify patterns, trends and outliers in large data sets. The term is often used interchangeably with others, including information graphics, information visualization and statistical graphics.
LOREM IPSUM
ARTIFICIAL INTELLIGENCE
While a number of definitions of artificial intelligence (AI) have surfaced over the last few decades, John McCarthy offers the following definition in this 2004 paper (PDF, 127 KB) (link resides outside IBM), " It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable."
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