Computer programming is the process of designing and building an executable computer program for accomplishing specific computing task. Programming involves tasks such as: analysis, generating algorithms, profiling algorithms' accuracy and resource consumption, and the implementation of algorithms in a chosen programming language (commonly referred to as coding). The source code of a program is written in one or more languages that are intelligible to programmers, rather than machine code, which is directly executed by the central processing unit. The purpose of programming is to find a sequence of instructions that will automate the performance of a task (which can be as complex as an operating system) on a computer, often for solving a given problem. The process of programming thus often requires expertise in several different subjects, including knowledge of the application domain, specialized algorithms, and formal logic.
Tasks accompanying and related to programming include: testing, debugging, source code maintenance, implementation of build systems, and management of derived artifacts, such as the machine code of computer programs. These might be considered part of the programming process, but often the term software development is used for this larger process with the term programming, implementation, or coding reserved for the actual writing of code. Software engineering combines engineering techniques with software development practices. Reverse engineering is the opposite process. A hacker is any skilled computer expert that uses their technical knowledge to overcome a problem, but it can also mean a security hacker in common language.
Smart Supply Chain Technologies, Ltd. Rel. 1.1 Free License
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AI, IoT, Blockchain, and Robotics for End-to-End Supply Chain
Planning, Monitoring, and Management
.. By Jim Davis and Eric Lam, Ph.D.
Smart Supply Chain Technologies, Ltd., a.k.a. S2CT, views the end-to-end supply chain as
extending from the commercial source of a product to in-the-hands of a consumer. This
paper will utilize S2CT’s previously published white paper “Retail Grocery Store Logistics and
Inventory Management” as the framework for this expanded comprehensive paper. This
paper is intended to reflect a futuristic but practical vision of the “Digital Supply Chain”. The
future Digital Supply Chain will be driven by “Cloud” and “Edge” Artificial Intelligence (AI),
ultra-cost-effective and reliable connected AI enhanced IoT devices, secure Blockchain
based Trade-Data-Sharing and Task-Specific Autonomous Robotics. These technologies
and devices will deliver “just-in-time” inventory management and bring unimaginable
inventory monitoring and handling efficiencies to those companies that embrace them.
Since AI is a central theme for S2CT (1) this paper we’ll begin with a short high-level AI
tutorial for readers that may not be deeply versed or confused by what AI is. AI is a term
used to describe a myriad of mathematical and software techniques used to assist
computers to solve complex problems. This paper will use the term AI to refer to Neural
Networks and AI Driven Algorithms that rely on historical data posed against real-time data to
First let me acknowledge 3blue1brown (*), by Grant Sanderson and "Neural Networks and
Deep Learning”, by Michael A. Nielsen, as excellent resources for understanding neural
networks and the mathematics behind them. Much of the material here was derived and
even cloned from 3blue1brown video series. Those videos and this paper reflect what’s now
considered “early” neural network concepts and don’t try to describe the