Ai Magazine最新文献_第6页

Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety 构建值得信赖的神经符号人工智能系统：一致性、可靠性、可解释性和安全性

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-14 DOI: 10.1002/aaai.12149

Manas Gaur, Amit Sheth

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引用次数: 0

AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography AI2ES：美国国家科学基金会人工智能研究所，研究天气、气候和沿海海洋学领域可信的人工智能

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-14 DOI: 10.1002/aaai.12160

Amy McGovern, Imme Ebert-Uphoff, Elizabeth A. Barnes, Ann Bostrom, Mariana G. Cains, Phillip Davis, Julie L. Demuth, Dimitrios I. Diochnos, Andrew H. Fagg, Philippe Tissot, John K. Williams, Christopher D. Wirz

引用次数: 0

The AI Institute for Engaged Learning 人工智能参与式学习研究所

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-14 DOI: 10.1002/aaai.12161

James Lester, Mohit Bansal, Gautam Biswas, Cindy Hmelo-Silver, Jeremy Roschelle, Jonathan Rowe

{"title":"The AI Institute for Engaged Learning","authors":"James Lester, Mohit Bansal, Gautam Biswas, Cindy Hmelo-Silver, Jeremy Roschelle, Jonathan Rowe","doi":"10.1002/aaai.12161","DOIUrl":"10.1002/aaai.12161","url":null,"abstract":"The EngageAI Institute focuses on AI-driven narrative-centered learning environments that create engaging story-based problem-solving experiences to support collaborative learning. The institute's research has three complementary strands. First, the institute creates narrative-centered learning environments that generate interactive story-based problem scenarios to elicit rich communication, encourage coordination, and spark collaborative creativity. Second, the institute creates virtual embodied conversational agent technologies with multiple modalities for communication (speech, facial expression, gesture, gaze, and posture) to support student learning. Embodied conversational agents are driven by advances in natural language understanding, natural language generation, and computer vision. Third, the institute is creating an innovative multimodal learning analytics framework that analyzes parallel streams of multimodal data derived from students’ conversations, gaze, facial expressions, gesture, and posture as they interact with each other, with teachers, and with embodied conversational agents. Woven throughout the institute's activities is a strong focus on ethics, with an emphasis on creating AI-augmented learning that is deeply informed by considerations of fairness, accountability, transparency, trust, and privacy. The institute emphasizes broad participation and diverse perspectives to ensure that advances in AI-augmented learning address inequities in STEM. The institute brings together a multistate network of universities, diverse K-12 school systems, science museums, and nonprofit partners. Key to all of these endeavors is an emphasis on diversity, equity, and inclusion.","PeriodicalId":7854,"journal":{"name":"Ai Magazine","volume":"45 1","pages":"69-76"},"PeriodicalIF":0.9,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aaai.12161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139838529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introduction to the Special Issue 特刊简介

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-13 DOI: 10.1002/aaai.12144

Ashok Goel, Chaohua Ou

引用次数: 0

The National Artificial Intelligence Research Institutes program and its significance to a prosperous future 国家人工智能研究所计划及其对繁荣未来的意义

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-13 DOI: 10.1002/aaai.12153

James J. Donlon

引用次数: 0

AI4OPT: AI Institute for Advances in Optimization AI4OPT：人工智能优化进步研究所

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-10 DOI: 10.1002/aaai.12146

Pascal Van Hentenryck, Kevin Dalmeijer

引用次数: 0

AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence AI-EDGE：面向未来边缘网络和分布式智能的国家科学基金会人工智能研究所

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-10 DOI: 10.1002/aaai.12145

Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness Shroff

{"title":"AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence","authors":"Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness Shroff","doi":"10.1002/aaai.12145","DOIUrl":"10.1002/aaai.12145","url":null,"abstract":"This paper highlights the overall endeavors of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE) to create a research, education, knowledge transfer, and workforce development environment for developing technological leadership in next-generation edge networks (6G and beyond) and artificial intelligence (AI). The research objectives of AI-EDGE are twofold: “AI for Networks” and “Networks for AI.” The former develops new foundational AI techniques to revolutionize technologies for next-generation edge networks, while the latter develops advanced networking techniques to enhance distributed and interconnected AI capabilities at edge devices. These research investigations are conducted across eight symbiotic thrust areas that work together to address the main challenges towards those goals. Such a synergistic approach ensures a virtuous research cycle so that advances in one area will accelerate advances in the other, thereby paving the way for a new generation of networks that are not only intelligent but also efficient, secure, self-healing, and capable of solving large-scale distributed AI challenges. This paper also outlines the institute's endeavors in education and workforce development, as well as broadening participation and enforcing collaboration.","PeriodicalId":7854,"journal":{"name":"Ai Magazine","volume":"45 1","pages":"29-34"},"PeriodicalIF":0.9,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aaai.12145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139846785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physical scene understanding 物理场景理解

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-09 DOI: 10.1002/aaai.12148

Jiajun Wu

引用次数: 0

AIIRA: AI Institute for Resilient Agriculture AIIRA：人工智能抗灾农业研究所

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-02-09 DOI: 10.1002/aaai.12151

Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh

{"title":"AIIRA: AI Institute for Resilient Agriculture","authors":"Baskar Ganapathysubramanian, Jessica M. P. Bell, George Kantor, Nirav Merchant, Soumik Sarkar, Patrick S. Schnable, Michelle Segovia, Arti Singh, Asheesh K. Singh","doi":"10.1002/aaai.12151","DOIUrl":"10.1002/aaai.12151","url":null,"abstract":"AIIRA seeks to transform agriculture by creating a new AI-driven framework for modeling plants at various agronomically relevant scales. We accomplish this by designing and deploying AI-driven predictive models that fuse diverse data with siloed domain knowledge. AIIRA's vision, illustrated in Figure 1, consists of four technical thrusts with cross-cutting education, training, and outreach activities. Our activities are focused on theory, algorithms, and tools for the principled creation of goal-oriented AI tools deployed at plant and field scales. Our use-inspired AI developments are tightly integrated with USDA-relevant challenges in crop improvement and sustainable crop production. Our strong social science focus ensures sustained AI adoption across the ag value chain. Our cyberinfrastructure (CI) efforts ensure cohesive, sustainable, and extensible CI to reproducibly share and manage data assets and analysis workflows to a diverse spectrum of the Ag community. Taken together, this will ensure long-term payoffs in AI and agriculture. AIIRA has established a new field of Cyber Agricultural Systems at the intersection of plant science, agronomics, and AI. Our signature activities build the workforce for this new field through formal and informal educational activities. Through these activities, AIIRA creates accessible pathways for underrepresented groups, especially Native Americans and women.","PeriodicalId":7854,"journal":{"name":"Ai Magazine","volume":"45 1","pages":"94-98"},"PeriodicalIF":0.9,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aaai.12151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139790148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prosocial dynamics in multiagent systems 多代理系统中的亲社会动力学

IF 0.9 4区计算机科学

Ai Magazine Pub Date : 2024-01-10 DOI: 10.1002/aaai.12143

Fernando P. Santos

引用次数: 0