The AAAI 2005 Mobile Robot Competition and Exhibition

AI Magazine

The Fourteenth Annual AAAI Mobile Robot Competition and Exhibition was held at the National Conference on Artificial Intelligence in Pittsburgh, Pennsylvania, in July 2005. This year marked a change in the venue format from a conference hall to a hotel, which changed how the robot event was run. As a result, the robots were much more visible to the attendees of the AAAI conference than in previous years. This allowed teams that focused on human-robot interaction to have many more opportunities to interact with people. This article describes the events that were held at the conference, including the Scavenger Hunt, Open Interaction, Robot Challenge, and Robot Exhibition.


Development and Deployment of a Disciple Agent for Center of Gravity Analysis

AAAI Conferences

This paper presents new significant advances in the Disciple approach for building knowledge-based systems by subject matter experts. It describes the innovative application of this approach to the development of an agent for the analysis of strategic centers of gravity in military conflicts. This application has been deployed in several courses at the US Army War College, and its use has been evaluated. The presented results are those of a multifaceted research and development effort that synergistically integrates research in Artificial Intelligence, Center of Gravity analysis, and practical deployment of an agent into Education.


Development and Deployment of a Disciple Agent for Center of Gravity Analysis

AAAI Conferences

This paper presents new significant advances in the Disciple approach for building knowledge-based systems by subject matter experts. It describes the innovative application of this approach to the development of an agent for the analysis of strategic centers of gravity in military conflicts. This application has been deployed in several courses at the US Army War College, and its use has been evaluated. The presented results are those of a multifaceted research and development effort that synergistically integrates research in Artificial Intelligence, Center of Gravity analysis, and practical deployment of an agent into Education.


Natural Language Understanding with Distributed Representation

arXiv.org Machine Learning

This is a lecture note for the course DS-GA 3001 at the Center for Data Science , New York University in Fall, 2015. As the name of the course suggests, this lecture note introduces readers to a neural network based approach to natural language understanding/processing. In order to make it as self-contained as possible, I spend much time on describing basics of machine learning and neural networks, only after which how they are used for natural languages is introduced. On the language front, I almost solely focus on language modelling and machine translation, two of which I personally find most fascinating and most fundamental to natural language understanding.


10 of the most popular tech jobs in 2019 (and how to land one)

Mashable

If the current job market had a mascot, it would have to be Kip from Napoleon Dynamite, a guy whose primary passion in life (after his wife Lafawnduh) is his beloved technology. Much like Kip, the job landscape has placed tech up on a pedestal as of late. It's a marked reaction to the modern ubiquity of smartphones and other devices, as well as recent phenomena like the rise of automation, developments in artificial intelligence, and ongoing cybersecurity threats. But what you might not know is just which jobs exactly you should be setting your sights on -- and what you can do to get there. The short answer to that second question: take an online course.