The most surprising finding was that 33.5% of respondents felt there was a future for virtual (computer generated) AI influencers like Lil Miquela (@lilmiquela).
Ella Glikson, Anita Williams Woolley, Pranav Gupta and Young Ji Kim The Effect of Automatic Feedback on Effort and Collective Intelligence in Distributed Virtual Teams ( abstract ) 12:15. Helping researchers stay on top of their game. Microsoft Academic (academic.microsoft.com) is a project exploring how to assist human conducting scientific research by leveraging machine’s cognitive power in memory, computation, sensing, attention, and endurance. Kim, Hyoseong Nuna, MD Deputy Chief Medical Officer Au, Loretta, MD Chief of Pediatrics, Manhattan Chao, Eda, MD Assistant Chief of Pediatrics Sirya, Rosalynn H., MD Assistant Chief of Pediatrics Wou, Margaret Lee, MD Chief of Pediatrics, Queens Chan, Angela Mei, MD Chan, Bennett, MD Chang, Carolyn Jean-An, MD Huang, Ai Lin, MD Hung Stephanie.
A 20-Year Community Roadmap for Artificial Intelligence Research in the US
This is the Executive Summary of the community report. The full report is due out for public comment by the end of March 2019. Partition manager crack.
Given the increasingly pervasive use of AI technologies in all sectors of industry and government, and the enormous potential for future AI-based technologies, the Computing Community Consortium, in working with the NSF, is sponsoring an AI Roadmap to help prioritize research investments. This initiative is analogous to the Robotics Roadmap that, ten years ago, led to the National Robotics Initiative, a multi-agency, multi-year investment by the federal government. NSF has pledged to increase its investments in AI and DARPA has already announced a $2B multi-year investment in AI research. Additional significant investments are under discussion at multiple federal agencies.
We believe strongly that the time is right for the AI community to articulate our collective vision for the future of AI research. The focus of the AI Roadmap will be on long-term research opportunities and potential investments, ten years out and beyond.
The AI Roadmap initiative is being chaired by Yolanda Gil (USC) and Bart Selman (Cornell). Three workshops are planned, with approximately 30 researchers attending each workshop. The theme of this third workshop is Self Aware Learning and it will take place on January 17-18 in San Francisco, CA. The chairs of the Self Aware Learning workshop are Fei-Fei Li (Stanford University) and Thomas G. Dietterich (Oregon State University).
Certification manual for welding inspectors free download. The Workshop on Self Aware Learning was the third workshop in the series. The objective is to sketch an agenda for developing the most promising AI approaches that can lead to advancements in learning, looking at deeper learning, integrated statistical learning and symbolic representations, and diversified learning modalities.
Please submit ideas and feedback to cccinfo@cra.org
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Other workshops in the AI Roadmap series:
Kim Roseolms Ai Ci Programs
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- Workshop 1 – Integrated Intelligence
- Workshop 2- Interaction