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Information Processing Letters is a peer-reviewed scientific journal in the field of computer science, published by Elsevier. The aim of the journal is to enable fast dissemination of results in the field of information processing in the form of short papers. Submissions are limited to nine double-spaced pages.
Science Journal for Kids is an online scientific journal that publishes adaptations designed for children and teens of academic research papers that were originally published in high-impact peer-reviewed journals, as well as science teaching resources for teachers.
Data feed is a mechanism for users to receive updated data from data sources. It is commonly used by real-time applications in point-to-point settings as well as on the World Wide Web. The latter is also called web feed. News feed is a popular form of web feed. RSS feed makes dissemination of blogs easy.
Information processing may refer to: Data processing in computer science, the collection and manipulation of digital data to produce meaningful information, esp. Electronic data processing, the use of automated methods to process data; Information processing (psychology) an approach to the goal of understanding human thinking
The journal covers STEM research and allows young scientists, from ages 8 to 15 years old, to participate in the publishing process (not as authors). [3] It has won awards for its review process, easy-to-navigate website, informative visual aids including colorful cartoons, and kid-friendly, accessible writing.
In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.
These algorithms are designed to operate with limited memory, generally logarithmic in the size of the stream and/or in the maximum value in the stream, and may also have limited processing time per item. As a result of these constraints, streaming algorithms often produce approximate answers based on a summary or "sketch" of the data stream.
A two-layer neural network capable of calculating XOR.The numbers within the neurons represent each neuron's explicit threshold. The numbers that annotate arrows represent the weight of the inputs.