Whois & Analysis for modernimpact.com

Machine learning is the subfield of computer science that, according to Arthur Samuel in 1959, gives "computers the ability to learn without being explicitly programmed." Evolved from the study of pattern recognition and computational learning theory in artificial intelligence, machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data driven predictions or decisions, through building a model from sample inputs.

Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or unfeasible; example applications include email filtering, detection of network intruders or malicious insiders working towards a data breach, optical character recognition (OCR), learning to rank and computer vision.

In digital imaging, a pixel, pel, dots, or picture element is a physical point in a raster image, or the smallest addressable element in an all points addressable display device; so it is the smallest controllable element of a picture represented on the screen.

The address of a pixel corresponds to its physical coordinates.

LCD pixels are manufactured in a two-dimensional grid, and are often represented using dots or squares, but CRT pixels correspond to their timing mechanisms.

In computer science, real-time computing (RTC), or reactive computing describes hardware and software systems subject to a "real-time constraint", for example from event to system response.

Real-time programs must guarantee response within specified time constraints, often referred to as "deadlines".

The correctness of these types of systems depends on their temporal aspects as well as their functional aspects.

Real-time responses are often understood to be in the order of milliseconds, and sometimes microseconds.

A system not specified as operating in real time cannot usually guarantee a response within any timeframe, although actual or expected response times may be given.

Artificial intelligence (AI) is intelligence exhibited by machines.

In computer science, the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of success at some goal.

Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving" (known as Machine Learning).

As machines become increasingly capable, mental facilities once thought to require intelligence are removed from the definition.

For instance, optical character recognition is no longer perceived as an example of "artificial intelligence", having become a routine technology.

Capabilities currently classified as AI include successfully understanding human speech, competing at a high level in strategic game systems (such as Chess and Go), self-driving cars, intelligent routing in content delivery networks, and interpreting complex data.

Advertising is an audio or visual form of marketing communication that employs an openly sponsored, nonpersonal message to promote or sell a product, service or idea.

Sponsors of advertising are often businesses who wish to promote their products or services.

Advertising is differentiated from public relations in that an advertiser usually pays for and has control over the message.

It is differentiated from personal selling in that the message is nonpersonal, i.e., not directed to a particular individual.