Project Grant N000142112369

This Project Grant award for $830,432, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), supports a research project aimed at improving artificial language systems by better understanding the brain mechanisms underlying human language production and comprehension. The key objectives of the 5-year project, which will be conducted by the University of California, Berkeley, are to: 1) use functional MRI...

The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CISE) program to The Regents of the University of California, doing business as the University of California, Berkeley. This 3-year award aims to integrate semantic knowledge from large language models, such as ChatGPT, into automated decision-making and control systems to leverage their predictive capabilities while maintaining reliability and robustness. The...

This $400,000 award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Massachusetts Institute of Technology (MIT) will develop novel methods, evaluations, and applications to leverage large language models (LLMs) as "tools for thought" to support creative, open-ended, and collaborative work. The key objectives are to: 1) develop a design space and guidance for building more reliable and controllable LLM...

This Project Grant award, funded by the National Science Foundation (NSF) under its STEM Education program (CFDA 47.076), aims to develop and test a digital learning tool for middle school students to learn about neural pathways in language-based AI systems and foster competencies in human-machine collaboration. The $449,768 project, awarded to the Concord Consortium, Inc., will (1) create interactive visualizations of neural pathways for students to explore unigrams and word embeddings, (2)...

This $800,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports research to develop mathematically rigorous methods for ensuring the reliability and safety of generative AI technologies like ChatGPT. The research aims to address both near-term and long-term challenges in this domain. For the near-term, the project will establish parameters for detecting and calibrating factual assertions made by generative...

The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $484,509 Project Grant to The Ohio State University to develop a computational model for extracting world knowledge from pre-trained language models and applying it to improve the accuracy of grammar induction from text. The project, titled "COMPCOG: RI: SMALL: HUMAN-LIKE SEMANTIC GRAMMAR INDUCTION THROUGH KNOWLEDGE DISTILLATION FROM PRE-TRAINED LANGUAGE MODELS", aims to create a semantic...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $400,000 in funding to Carnegie Mellon University (CMU) from September 2024 to August 2028. The project aims to develop a systematic framework for visualizing, understanding, and rewriting the learned computations of multimodal generative AI models that can generate both text and images. Key objectives include: Developing new methodologies...

This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...

This Project Grant award, provided by the National Institute of Neurological Disorders and Stroke (NINDS) under the Extramural Research Programs in the Neurosciences and Neurological Disorders (CFDA 93.853) program, supports research to build a mechanistic neurobiological circuit theory of statistical learning. The $673,581 award to New York University School of Medicine aims to investigate how cortical and hippocampal brain regions dynamically interact to enable learning of statistical...

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...