Whois & Analysis for thisdata.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.

Time travel is the concept of movement (such as by a human) between certain points in time, analogous to movement between different points in space, typically using a hypothetical device known as a time machine, in the form of a vehicle or of a portal connecting distant points in time.

Time travel is a recognized concept in philosophy and fiction, but traveling to an arbitrary point in time has a very limited support in theoretical physics, and usually only connected with quantum mechanics or wormholes, also known as Einstein-Rosen bridges.

In a more narrow sense, one-way time travel into the future via time dilation is a well-understood phenomenon within the frameworks of special relativity and general relativity, but advancing a large amount of time is not feasible with current technology.

The concept was touched upon in various earlier works of fiction, but was popularized by H.

G.

Wells' 1895 novel The Time Machine, which moved the concept of time travel into the public imagination, and it remains a popular subject in science fiction.

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.

A user is a person who uses a computer or network service.

Users generally use a system or a software product without the technical expertise required to fully understand it.

Power users use advanced features of programs, though they are not necessarily capable of computer programming and system administration.

In computing, input/output or I/O (or, informally, io or IO) is the communication between an information processing system, such as a computer, and the outside world, possibly a human or another information processing system.

Inputs are the signals or data received by the system and outputs are the signals or data sent from it.

The term can also be used as part of an action; to "perform I/O" is to perform an input or output operation.