![]() ![]() Received: DecemAccepted: MaPublished: April 13, 2023Ĭopyright: © 2023 Choi et al. National University of Sciences and Technology NUST, PAKISTAN Proof-of-principle example applications are provided that demonstrate how SimpleMind supports and improves deep neural networks by embedding them within a Cognitive AI environment.Ĭitation: Choi Y, Wahi-Anwar MW, Brown MS (2023) SimpleMind: An open-source software environment that adds thinking to deep neural networks. This machine reasoning improves the reliability and trustworthiness of DNNs through an interpretable model and explainable decisions. SimpleMind enables reasoning on multiple detected objects to ensure consistency, providing cross-checking between DNN outputs. SimpleMind brings thinking to DNNs by: (1) providing methods for reasoning with the knowledge base about image content, such as spatial inferencing and conditional reasoning to check DNN outputs (2) applying process knowledge, in the form of general-purpose software agents, that are dynamically chained together to accomplish image preprocessing, DNN prediction, and result post-processing, and (3) performing automatic co-optimization of all knowledge base parameters to adapt agents to specific problems. The knowledge base can then be applied to an input image to recognize and understand its content. It allows creation of a knowledge base that describes expected characteristics and relationships between image objects in an intuitive human-readable form. The purpose of this paper is to introduce SimpleMind, an open-source software environment for Cognitive AI focused on medical image understanding. While overall DNN performance metrics may be good, these obvious errors, coupled with a lack of explainability, have prevented widespread adoption for crucial tasks such as medical image analysis. However, DNNs alone are susceptible to obvious mistakes that violate simple, common sense concepts and are limited in their ability to use explicit knowledge to guide their search and decision making. Import text files (.txt) – Local: import from File Dropbox, Google Drive: import from Mind Map Explorer.Deep neural networks (DNNs) detect patterns in data and have shown versatility and strong performance in many computer vision applications.Breadcrumb bar in Mind Map Explorers for quick navigation between folders.○ highlight branches by displaying branch borders ○ change the appearance of topics and lines ○ pick colors from the style color palette or choose custom colors ○ use the presentation mode to show your Mind Map to others ○ outline, can be imported in word processors ○ Dropbox stores deleted files and file versions for at least 30days ○ restore previous versions of a Mind Map ○ avoid data loss by recovering deleted Mind Maps ○ sync your Mind Maps with other devices using Dropbox or Google Drive as a conduit Seamless synchronization using Dropbox or Google Drive.○ reorganize and restructure using drag, rotate,re-arrangeorreconnect ○ start with an image at the center of the Mind Map ○ supports multiple Mind Maps on one page ![]() ○ virtually unlimited page size and number of elements ○ or use one of the different auto layouts (great for brain storming) ○ place topics any where you want in the free layout Seamless synchronization using Dropbox or Google Drive.Unique free layout or different auto layouts.Used in a wide range of applications: business,education, legal and medical.Trustworthy and reliable: 7 years of updates and improvements.Continuously fine-tuned based on customer feedback.SimpleMind is designed to synchronize your Mind Maps a cross plat forms. We’ve created a beautiful, intuitive app, so you can mind map wherever you are and whenever you want. Mind mapping helps you organize your thoughts, remember things and generate new ideas. ![]()
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