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Intelligent OAM
Intelligent OAM

... • The architecture of Network artificial intelligence includes following key component: – 1. Central Controller: Centralized controller is the core component of Network Artificial Intelligence which can be called as 'Network Brain'. It man collect huge data of network states, store the data based on ...
Introduction to Neural Networks
Introduction to Neural Networks

...  For each hidden layer (from output to input):  For each unit in the layer determine how much it contributed to the errors in the previous layer.  Adapt the weight according to this contribution ...
TechGuide 4
TechGuide 4

... Applications, Benefits, and Limitations of Expert Systems • Difficulties of Using Expert Systems – Transferring domain expertise from human experts to the expert system can be difficult because people cannot always explain what they know – Even if the domain experts can explain their entire reasoni ...
- NYU Tandon School of Engineering
- NYU Tandon School of Engineering

... respond in different channels such as email, chat, and social media. HelloVera was co-founded by Dr. James Fan, who led the AI research team for the IBM Watson project that beat the top Jeopardy! champions, and Dr. Liangliang Cao, winner of the prestigious ImageNet computer vision challenge and an a ...
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Document

... study is relatively new, it has some roots in the past. We can say that it started 2,400 years ago when the Greek philosopher Aristotle invented the concept of logical reasoning. The effort to finalize the language of logic continued with Leibniz and Newton. George Boole developed Boolean algebra in ...
THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN SOUTH
THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN SOUTH

... unskilled labour in skilled jobs. The world interface could utilize standard switches, warning lights and other displays to direct the labourer as required. Through the appropriate utilization of man and machine, each could compliment each other i.e; the human providing the dexterity and visual capa ...
Artificial Intelligence Comes of Age
Artificial Intelligence Comes of Age

... with conflicting views about AI, according to Isaacson. Gates saw machines as capable of mimicking exactly what humans do, and surpassing us, ultimately rendering humans unnecessary. Jobs disagreed — along with computer visionary Doug Englebart — believing that the humanities and technology will alw ...
Interactive Learning and Analogical Chaining for Moral and
Interactive Learning and Analogical Chaining for Moral and

... revenge. I will investigate crowd-sourcing moral stories for a user to endorse or reject, to lighten the user’s burden. My thesis goal is to have a Companion running MoralDM with the above extensions interact with a human to build a model of their moral system. This was impossible when MoralDM requi ...
Depth Proposal Depth Area: Soft Computing Depth Topic: Swarm
Depth Proposal Depth Area: Soft Computing Depth Topic: Swarm

... ants, bees, birds, termites, etc. Although these organisms have very limited individual capability, they can cooperatively interact together to perform many complex tasks necessary for their survival. The most two popular SI-based algorithms are Ant Colony Optimization and Particle Swarm Optimizatio ...
The IEEE Global Initiative for Ethical Considerations in Artificial
The IEEE Global Initiative for Ethical Considerations in Artificial

... Richard is Director of AI Projects at NGO the Future of Life Institute, where he works to support the robust, safe, beneficent development of both short-term and longterm artificial intelligence via analysis, metaresearch, organization, research direction, and advocacy. Issues tackled range from AI- ...
Strategic Decision Making
Strategic Decision Making

... – Weights change as the net learns what is good and bad (e.g. credit card transaction) and stabilize after having been fed enough examples – Differs from expert system in that expert system follows rigid rules that don’t change. Neural net rules change based on experience. ...
The coming of age of artificial intelligence in medicine
The coming of age of artificial intelligence in medicine

... from the world of health planning and policy. Realistic expectations of the field’s influence in health care and biomedical sciences require that we draw upon AI as only one of the many methodological domains from which good and necessary ideas can be derived. This amounts to an argument that AIM re ...
Foundations and Grand Challenges of Artificial Intelligence
Foundations and Grand Challenges of Artificial Intelligence

... the past twenty-five years. It was a call for help. “We are being asked some tough questions by the front office,” they said. “What are the major accomplishments of the field? How can we measure progress? How can we tell whether you are succeeding or failing? What breakthroughs might be possible ove ...
AI IN THE NEWS (Spring 2004)
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... deliberation) as one of the three pillars required for flexible, robust AI systems. On the other side of the coin, it has also been established that metacognition can actually interfere with performance. That is, metacognition is no panacea, and therefore one of the issues which requires further inq ...
Some Thoughts to Consider 1
Some Thoughts to Consider 1

... Tim Berners-Lee’s original vision of the Web was more than the information space that we see today. ...
Workshops Held at the First AAAI Conference on Human
Workshops Held at the First AAAI Conference on Human

... in a rapid and cost effective way. Since 2005 (when Amazon launched its microtask crowdsourcing platform, Mechanical Turk) the community of researchers in computer science, linguistics, speech technology, and so on have been changing their data collection, data labeling/annotation, data analysis, an ...
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ELIZA/DOCTOR PROGRAM Introduction Working

... Reactions to ELIZA and the “ELIZA Effect” As Weizenbaum discovered, many subjects who experimented with ELIZA got emotionally attached to it. Many did so despite Weizenbaum’s informing them that there is no intelligence involved and that in fact ELIZA is not ‘answering’ them but only regurgitating ...
Shah_Malalur - Computer Science
Shah_Malalur - Computer Science

...  Experimental system where the user and the agent system perform communication, monitor events and look after tasks for information retrieval.  It attempts to utilize graphics technology to lower the cost of finding and accessing information. ...
Optimizing Building`s Environments Performance Using Intelligent
Optimizing Building`s Environments Performance Using Intelligent

... Techniques of artificial intelligence have been used in many decision, control and automation systems in the last twenty years. Building systems have not been an exception. In this direction, the intelligent system that is proposed in this article tries to contribute in the field of intelligent buil ...
The Liability Problem for Autonomous Artificial Agents
The Liability Problem for Autonomous Artificial Agents

... the problem (Asaro 2011). It is possible in some criminal situations to hold the people who operate the artificial systems liable, provided you can show intent to commit a crime, or foreseeable risk of a harm rising to the level of criminal negligence. To the extent that artificial agents become inc ...
The Synergy of Human and Artificial Intelligence in Software
The Synergy of Human and Artificial Intelligence in Software

... Test generation. Traditionally, test generation relies on human intelligence to design test inputs that can satisfy testing requirements such as achieving high code coverage or faultdetection capability. On the other hand, automatic test generation [36] relies on tool automation to automatically gen ...
John McCarthy defines artificial intelligence as
John McCarthy defines artificial intelligence as

... 1. How did John McCarthy, the guy who is credited with coining the term, define the term artificial intelligence? John McCarthy defines artificial intelligence as “the goal to develop machines that behave as though they were intelligent.” 2. How did Elaine Rich define the term artificial intelligenc ...
Curriculum changes HMI
Curriculum changes HMI

... For Dutch students who aim at this double degree it would mean the following: They first study one year in Enschede, and then the second year in Trento. They have to fulfil all the requirements of the HMI programme, but to do so, they can take courses in Trento. The list below shows how Trento cours ...
for taking notes
for taking notes

... Introduction ...
Tech_Trends_Knowledge Based_Crowe_FINAL
Tech_Trends_Knowledge Based_Crowe_FINAL

... Cognitive computing systems, including augmented intelligence/KBS, primarily work by interacting and learning in a natural way with people to extend what both humans and computing can do on their own. KBS is not thought of as artificial intelligence per se, although it has many of the attributes; ra ...
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Existential risk from artificial general intelligence

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