Project Grant FA86552017005

This Project Grant from the National Science Foundation's Computer and Information Science and Engineering program ($566,944) will support the development of purposeful conversational agents based on hierarchical knowledge graphs from September 1, 2022 to August 31, 2025. The awardee, the Research Foundation for the State University of New York, will create a fully functional conversational agent that incorporates factual knowledge, logical reasoning, and persuasive conversation strategies....

Articulate.ai Inc. received a $256,000 National Science Foundation Project Grant under the NSF Technology, Innovation, and Partnerships program to develop adaptive dialog systems as second language learning partners. The grant will fund an innovative effort to integrate state-of-the-art artificial intelligence technologies into conversational systems for language education. Key deliverables include user-adaptive algorithms and datasets for dialog policy training on language learning tasks. The...

This Project Grant from the National Science Foundation's Division of Behavioral and Cognitive Sciences, under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075), provides $763,822 to Vanderbilt University to advance understanding of cognitive and linguistic processes in conversational interactions. Over three years, the university will conduct twelve behavioral experiments to determine how individuals form probabilistic representations of what their conversational...

This $339,927 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support Georgetown University's development of an intelligent conversational agent. The agent will be built on a hierarchical model-based deep reinforcement learning framework to enable proactive, two-way conversations that can dynamically detect opportunities to expand knowledge and explore new topics. The project...

This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $1,498,564 to Temple University to develop a large, multimodal knowledge graph that captures the salient aspects of climate modeling, including data, models, and analytical tasks. The 3-year project aims to create automated methods for inferring relationships between research papers, datasets, climate models, and tools, and...

This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) provides $599,898 to The University of Kentucky Research Foundation to develop advanced, user-centric task-oriented dialog systems. The project aims to enhance the adaptability, flexibility, and personalization of these dialog systems by leveraging large-scale language models and reinforcement learning. Key goals include creating...

The National Science Foundation (NSF) awarded a $270,000 EAGER (Early-Concept Grants for Exploratory Research) grant to the Massachusetts Institute of Technology (MIT) to develop an Artificial Intelligence (AI) or Large Language Model (LLM)-powered conversational tutoring system for Quantum Information Science and Engineering (QISE). The project, titled "TRUSTWORTHY AND ETHICAL AI TUTORS WITH FIRST-PRINCIPLES/AXIOMATIC REASONING", aims to create an interpretable AI tutor, called...

The National Science Foundation awarded a $200,000 Project Grant to the University of Illinois under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to develop a hybrid dialogue system architecture combining symbolic and neural approaches. The two-year project beginning August 2022 will explore new inference mechanisms blending an explicitly designed dialogue manager module with effective neural encoder/decoder models. A symbolic dialogue manager will...

This Project Grant from the National Science Foundation's $524,474 Computer and Information Science and Engineering program will support the development of artificial intelligence systems capable of understanding general real-world tasks and providing step-by-step visual and language guidance to solve complex problems. Over a three-year period from June 2022 to May 2025, researchers at the University of Minnesota will create a new dataset annotating diverse everyday tasks and solutions,...

This five-year, $548,928 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems, under the Computer and Information Science and Engineering program (CFDA 47.070), will support research into developing robots that can learn about their environments through natural spoken language interactions with diverse groups of people. The principal investigator at the University of Maryland Baltimore County will study how robots can acquire an understanding of...