Thursday, August 23, 2018

Artificial Intelligence - A Note for Industrial Engineers for Industrial Engineering 4.0 (IE 4.0)

Artificial Intelligence (AI) is explained by PWC as  a collective term for computer systems that can sense their environment, think, learn, and take action in response to what they’re sensing and
their objectives.

 AI is in use today in actual devices or systems like digital assistants, chatbots and machine learning
amongst others.

The intelligence included in AI can be categorized as:

Automated intelligence: Automation of manual/cognitive and routine/nonroutine tasks.
Assisted intelligence: Helping people to perform tasks faster and better.
Augmented intelligence: Helping people to make better decisions.
Autonomous intelligence: Automating decision making processes without human intervention.

More AI innovations are likely to come out of the research lab and the transformational possibilities are staggering based on the various research and development proposals announced or indicated.


Transforming manufacturing with artificial intelligence
August 22, 2018 | Written by: Dr. Jongwoon Hwang, Group Leader, KIST Europe and Marco Hüster, Business Lead AI Implementation, KIST Europe

AI applications Today?
June 24, 2018
Visual Recognition (Face recognition, automatic tagging, metadata, video indexing)
Speech to Text
Text to Speech
Language Translation
Natural Language Classification and Processing
Cognitive Content Moderation
Voice Recognition
Recommendation Engines and Semantic Search
Photo Filtering and Enhancement
Sentiment Analysis (Social media, email, etc.)
Automate Workflows
Pattern Matching and Pattern Finding

PWC Report on AI

Sizing the prize: What’s the real value of AI for your business and how can you capitalise?

A Very Short History Of Artificial Intelligence (AI)

Cambrian Intelligence: The Early History of the New AI

Rodney Allen Brooks
MIT Press, 1999 - Computers - 199 pages
Until the mid-1980s, AI researchers assumed that an intelligent system doing high-level reasoning was necessary for the coupling of perception and action. In this traditional model, cognition mediates between perception and plans of action. Realizing that this core AI, as it was known, was illusory, Rodney A. Brooks turned the field of AI on its head by introducing the behavior-based approach to robotics. The cornerstone of behavior-based robotics is the realization that the coupling of perception and action gives rise to all the power of intelligence and that cognition is only in the eye of an observer. Behavior-based robotics has been the basis of successful applications in entertainment, service industries, agriculture, mining, and the home. It has given rise to both autonomous mobile robots and more recent humanoid robots such as Brooks' Cog.

This book represents Brooks' initial formulation of and contributions to the development of the behavior-based approach to robotics. It presents all of the key philosophical and technical ideas that put this "bottom-up" approach at the forefront of current research in not only AI but all of cognitive science.

Updated on 24 August 2018
20 February 2018

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