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Events
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Networks
Description
The AAI Community of Practice is comprised of faculty, staff, graduate students, government partners, and private industry sponsors. Members come from diverse academic fields but are all interested in the research and application of Artificial Intelligence to multiple domains which includes, but is not limited to healthcare, medicine, systems engineering, education, as well as testing and evaluation of autonomous systems.
Aspirations
KEYWORDS
- Artificial Intelligence
- Artificial Neural Networks
- Cluster Analysis
- Convolutional Neural Networks
- Data science
- Deep Learning
- Machine Intelligence
- Machine Learning
- Supervised and unsupervised learning
COMMUNITY MEMBERS
Member
Member
Member
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Jesus, Jimenez (View) Texas State University San Marcos Edit |
Lucero, Sergio (View) Barrio Technologies Edit |
Montoya, Yazmin (View) Intel Corporation Edit |
Quiros, Ondrea (View) El Paso Community College Edit |
Salcedo, Andrea E. (View) City of El Paso Public Health Edit |
Servin, Christian (View) El Paso Community College Edit |
Villegas, Oscar (View) University of Texas at El Paso Edit |
The President’s Council of Advisors for Science and Technology has published Recommendations for Strengthening American Leadership in Industries of the Future, including AI, and calls for new and sustained research in AI to drive science and technology progress. The National AI Research Institutes program enables longer-term research and U.S. leadership in AI through the creation of AI Research Institutes. New to the program this year are contributions from partners in U.S. industry who share in the government’s goal to advance national competitiveness through National AI Research Institutes. This year’s industry partners are Accenture, Amazon, Google, and Intel Corporation.
AI4ALL Summer Program is a UTEP resource for increasing El Paso High School students' awareness of Artificial Intelligence and how it can help the Borderland and the world.
The National Science Foundation AI Institute for Engaged Learning is guided by a vision that supports & extends the capabilities of teachers and students using AI. The Institute conducts research on AI-driven narrative-centered learning environments with embodied conversational agents and powerful multimodal sensing capabilities to create deeply engaging collaborative story-based learning experiences. The Institute’s AI-driven learning environments build on its advances in core AI on natural language processing, computer vision, and machine learning.
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications! (Course cost is $23.99)
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DIALOG SOURCES
I3 Move Communities provide a way to share expertise, resources, and community information to the general public. There are numerous tools available, both open source and proprietary, for engaging in dialog and sharing information and knowledge within a closed group.
This community engages in dialog as follows:
None specified to date.