"Artificial precision" is not a widely recognized term in the fields of technology, mathematics, or artificial intelligence. However, based on the components of the phrase, it could refer to the following concepts: 1. **Inaccuracy in Precision**: It might describe a situation where systems, models, or algorithms are overly precise in their outputs or calculations, leading to misleading interpretations or results.
Bootstrap aggregating, commonly known as bagging, is an ensemble machine learning technique designed to improve the accuracy and robustness of model predictions. The primary idea behind bagging is to reduce variance and combat overfitting, especially in models that are highly sensitive to fluctuations in the training data, such as decision trees. Here’s how bagging works: 1. **Bootstrapping**: From the original training dataset, multiple subsets of data are created through a process called bootstrapping.
Bootstrapping is a statistical resampling technique used to estimate the distribution of a sample statistic by repeatedly resampling with replacement from the data set. The central idea is to create multiple simulated samples (called "bootstrap samples"), allowing for the assessment of variability and confidence intervals of the statistic of interest without relying on strong parametric assumptions. ### Key Steps in Bootstrapping: 1. **Original Sample**: Start with an observed dataset of size \( n \).
The history of artificial neural networks (ANNs) is a fascinating journey through computer science, mathematics, and neuroscience. Here's an overview of its evolution: ### 1940s: Early Concepts - **1943**: Warren McCulloch and Walter Pitts published a paper titled "A Logical Calculus of Ideas Immanent in Nervous Activity," which proposed a mathematical model of neurons and how they could be connected to perform logical functions.
Owen's T function is a special function used in statistics and probability, particularly in the context of multivariate analysis and the theory of correlated normal variables. It is denoted as \( T(a, b) \) and is defined for two non-negative parameters \( a \) and \( b \), where they typically represent the square roots of two positive numbers.
CAD/CAM stands for Computer-Aided Design and Computer-Aided Manufacturing. These two technologies are often used together in various industries, especially in manufacturing, engineering, architecture, and design. ### CAD (Computer-Aided Design) CAD refers to the use of software to create precise drawings, models, and specifications for various types of projects. It allows designers and engineers to: - Create detailed 2D or 3D representations of a product or structure.
Plant Lifecycle Management (PLM) refers to the comprehensive approach and framework for managing the entire lifecycle of a manufacturing plant or facility, from its initial planning and design stages through construction, operation, maintenance, and ultimately decommissioning or repurposing. PLM integrates various processes, tools, and data across different phases to ensure efficiency, sustainability, and compliance with regulations.
Product and manufacturing information (PMI) refers to detailed data that specifies the properties, characteristics, and manufacturing processes related to a product. This information is crucial for the understanding, design, production, and quality control of products. PMI encompasses various aspects that ensure that stakeholders—such as designers, engineers, manufacturers, and quality assurance teams—have the necessary information to effectively produce and manage the product.
Artificial neural networks (ANNs) have various architectures and types, each suited for different tasks and applications. Here are some of the most common types of artificial neural networks: 1. **Feedforward Neural Networks (FNN)**: - The simplest type of ANN where connections between the nodes do not form cycles. Information moves in one direction—from input nodes, through hidden nodes (if any), and finally to output nodes.
BIMx, which stands for Building Information Modeling (BIM) eXplorer, is a software application developed by Graphisoft that allows users to visualize and interact with BIM models. It provides an engaging way for architects, engineers, and construction professionals to present their 3D designs and project information in an easily accessible format.
Cadwork is a software application primarily used for computer-aided design (CAD) and building information modeling (BIM) in the fields of timber construction, architecture, and wood engineering. It provides a comprehensive solution for designing, modeling, and planning complex structures, especially those that involve timber materials. Cadwork is known for its user-friendly interface and advanced tools that allow users to create detailed 3D models, generate technical drawings, produce cutting lists, and manage project workflows.
Graphisoft EcoDesigner is a software tool developed by Graphisoft, primarily for sustainable design and energy analysis in building projects. Initially released as a plugin for the Archicad Building Information Modeling (BIM) software, EcoDesigner enables architects and designers to assess the environmental impact of their designs early in the design process. Key features of Graphisoft EcoDesigner include: 1. **Energy Analysis**: EcoDesigner allows users to perform energy calculations to evaluate the energy performance of buildings.
Laser rapid manufacturing refers to a range of manufacturing processes that utilize laser technology to quickly produce components and products, often on a small scale or as prototypes. This approach can encompass various techniques, including: 1. **Laser Sintering (LS)**: A process that uses a laser to sinter powdered material, typically plastic or metal, to create a solid structure. It is commonly used in 3D printing to produce complex shapes that would be difficult or impossible to achieve with traditional manufacturing.
Quad-edge is a data structure used primarily for representing and manipulating surfaces in computational geometry, particularly in the context of mesh representations and graph theory. It was introduced by Guibas and Stolfi in the context of dynamic planar subdivisions. ### Key Features of Quad-edge Structure: 1. **Surface Representation**: It is particularly suited for representing planar subdivisions and can efficiently handle operations like inserting and deleting edges.
The term "Pi algorithms" can refer to algorithms used to compute the digits of the mathematical constant pi (π), which represents the ratio of a circle's circumference to its diameter. Pi is a non-repeating, non-terminating decimal, and numerous algorithms can be employed to calculate its digits to a high degree of precision.
Turochamp is a chess program designed by Alan Turing in the 1950s, which is notable for being one of the earliest examples of a computer chess algorithm. Turing developed this program while working on the concepts of artificial intelligence, and Turochamp was intended to play a game of chess against human opponents.
Spatial network analysis software is a type of Geographic Information System (GIS) software designed to analyze spatial networks, such as transportation systems, utility networks, and social networks. Such software provides tools for modeling, visualizing, and analyzing complex relationships and flows within a spatial context. Key functions and features of spatial network analysis software include: 1. **Network Modeling**: Users can create and manage spatial networks, representing nodes (e.g., intersections, facilities) and edges (e.g.
Analytica is a decision-making software tool designed for analyzing complex systems and making informed decisions. Developed by Lumina Decision Systems, it employs a visual modeling approach that allows users to create models using a graphical interface. This makes it particularly useful for users who may not have extensive programming or quantitative skills. Key features of Analytica include: 1. **Influence Diagrams**: Users can create influence diagrams to represent variables and their relationships visually, simplifying the understanding of complex systems.
Fermat is a computer algebra system (CAS) designed for symbolic mathematical computation. It allows users to perform a wide range of mathematical operations, including algebraic manipulations, calculus, and other advanced mathematical functions. The system is particularly known for its capabilities in symbolic computing, which involves manipulating mathematical expressions in a way that is more abstract than numerical calculations. Fermat can handle tasks such as simplifying expressions, solving equations, performing integration and differentiation, and working with matrices, among others.
Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.Figure 4. Visual Studio Code extension tree navigation.Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. - Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact





