AI Library
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SmartCloud's Industrial AI software embraces AI, industrial automation, cloud, and big data technologies. To help you learn about underlying concepts and advantages that are directly related to SmartCloud's AI, we've collected the following links to papers, articles, lectures, and tutorials.
What is AI?
What is AI? -- Online Article
FOR: Technologists and Executives
SUMMARY: A well-written overview of AI written by B.J. Copeland, the Director of the Turing Archive for the History of Computing. Topics of most relevance to SmartCloud's AI solutions include: learning, reasoning, problem solving, Applied AI, knowledge bases, inferencing, and neural networks.
LINK: What is AI?
Intro to AI -- Video Lecture from MIT
FOR: Technologists
SUMMARY: This engaging lecture by noted MIT professor Patrick Winston lays the conceptual groundwork for AI that maps very well to SmartCloud's approach. Prof. Winston presents AI as being about the creation of engineering models aimed at enabling thinking and actions. The overall perspective is one of AI being about methods and representations for creating smarter software programs that solve difficult problems. He also gives his take on the history of AI, starting in the 1800s with Ada Lovelace and going to symbolic reasoning, vision, learning, and expert systems, and how that history relates to the state of AI in the 2010s.
LINK: Artificial Intelligence -- Lecture 1 from MIT OpenCourseWare
AI Topics -- Online Resource from AAAI
FOR: Technologists and Executives
SUMMARY: Think of this site as being all things AI. Maintained by the Association for the Advancement of AI (AAAI), this large and comprehensive collection of AI information is an excellent first stop for those with a broad interest in AI topics. The site offers a history, news, pointers to publications, videos, podcasts, course materials, and many other resources. The site's knowledge representation and reasoning section is of most direct interest for SmartCloud.
LINK: AI Topics
Why Semantic Web for Knowledge Representation?
Triplestores vs. Relational Databases -- Article
FOR: Technologists & Executives
SUMMARY: A quick overview of a Semantic Web foundation: NoSQL data in the form of triplestore data structures. The overview written by a practitioner, compares triplestores vs. relationship databases, giving a simple example to illustrate.
LINK: The Difference Between a Triplestore and a Relational Database
Semantic Sensor Networks (SSN) Ontology -- Online Paper
FOR: Technologists
SUMMARY: SmartCloud uses the SSN ontology as a solution building block to speed up development and simplify interoperability between different types of sensor devices and data formats. An ontology in the information technology world is the formal naming and definition of the types, properties, and interrelationships of the things of interest in a solution. Ontologies are foundational to knowledge representation. The SSN ontology is defined by W3C Semantic Sensor Network Incubator group (SSN-XG) using W3C's OWL 2. This paper describes the ontology and gives examples of its use.
AI Agents for Distributed Intelligence
Multi-Agent Systems Overview from AAAI
FOR: Technologists & Executives
SUMMARY: A very clear and high-level explanation of how multi-agent systems work to solve complex problems.
Introduction to Agent Technologies -- Lecture Notes
FOR: Technologists
SUMMARY: These slides, from a university course, "Introduction to Agent Technologies", taught at the University of Jyväskylän in Finland, provide a quick high level overview to the topic of Intelligent Agents as a software abstraction.
LINK: Introduction to Agent Technologies (Powerpoint Slides)
Multi-Agent Systems -- Lecture Notes and Textbook
FOR: Technologists
SUMMARY: This second edition textbook gives a comprehensive overview of multi-agent systems in theory and in practice. These systems, which are a powerful technique used by SmartCloud and others for distributed processing of data and knowledge, involve individual software entities, or agents, that can act autonomously, cooperate, compete, communicate, be flexible, and control their behavior. The book is available from MIT Press and features individual authors for each chapter. Detailed lecture notes for each chapter are available online. The first chapter notes give an indepth introduction to what Agents are including for weak and strong agents, both of which are relevant to SmartCloud.
Artificial Intelligence and Computational Agents -- Online Textbook
FOR: Technologists
SUMMARY: This comprehensive online textbook covers artificial intelligence as a science. It takes the perspective of AI being based on computational agents that act intelligently. SmartCloud's Big Reasoning Engine makes use of such agents. The first chapters in particular are helpful introductions to the topic of AI and agents.
Machine Learning for Data-Driven Intelligence
The Triumph Of Deep Learning -- Article
FOR: Technologists
SUMMARY: A clearly written history and explanation of neural networks as they have become transformed into Deep Learning algorithms. The article explains how pre-training of the lower layers of a neural network have led to a breakthrough in pattern recognition.
AI for Next-Generation Utility Grids
Semantic Modeling for Smart Grid -- Paper
FOR: Technologists
SUMMARY: This paper, from work funded by the US Department of Energy at the University of Southern California, explains and illustrates the value of Semantic Web modeling and complex event processing for next generation smart grid applications.
AI for Internet of Things (IoT)
Semantic Web for the Internet of Things
FOR: Technologists
SUMMARY: These lecture notes from a University of Surrey professor overview how Semantic Web modeling based on OWL 2 solves a major IoT challenge of interoperability between large volumes of distributed and heterogeneous data sets generated by connected "Things." This data is typically of multiple types (temperature, light, sound, video, etc.) and highly variable (data values and quality vary across devices, locations, and time; data can also be noisy and incomplete). Semantic Web modeling simplfies the interconnection of data sources and systems to greatly facilitate interoperability within IoT systems.
LINK: Semantic Technologies for the Internet of Things
What is SmartCloud's AI?
At SmartCloud we focus on knowledge representation and reasoning. We apply our AI to time-critical settings where every second and minute counts, like Internet of Things systems for utility grids, production, energy, trading markets, or commerce transactions. Our AI helps humans to detect, predict, and understand situations of concern and then effectively respond, all in real time.
Since its beginning in the 1950s, artificial intelligence has evolved into multiple branches including those for speech, natural language, vision, machine learning, search, robotics, and knowledge representation and reasoning.
We give context in real time to the many-to-many relationships within an Internet of Things system through our knowledge representation. Our patented technology for doing this uses semantic web standards.
Our solutions reach useful conclusions from massive, continuous streams of real-time data by applying AI reasoning logic in combination with the knowledge representation. The core of our reasoning technologies make use of the AI concept of software agents, which emulate reasoning and decision-making capabilities of humans as individuals and as groups. Our AI Agents can apply several reasoning techniques in real time, including rules, semantic reasoners, machine learning algorithms, and more.
So while our AI is not the AI that is speaking with you on a smartphone, identifying images, searching the internet, vacuuming a floor, or gaming with you, our AI solutions are behind the scenes of mission-critical operational infrastructures helping to make the decisions and take the actions that boost business performance and cut costs.
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