The National Science Foundation (NSF) awarded a $582,031 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Regents of the University of Michigan, doing business as the University of Michigan. The grant will fund a 5-year research project focused on "Achieving Explainable Artificial Intelligence (AI) Through Human-AI Interaction." The goal of the project is to develop new scientific knowledge and design guidelines for delivering...
The National Science Foundation (NSF) has awarded a $599,756 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Wisconsin - Madison. The grant, effective September 15, 2023 through August 31, 2026, will fund research to utilize Explainable Artificial Intelligence (XAI) to improve the computer-aided design process for very large scale integrated circuits. Key objectives include investigating how XAI can be used to avoid design rule...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $175,000 to Wake Forest University's Babcock School of Business to conduct research on improving the efficiency and reliability of explainable AI systems, particularly for critical medical applications such as histopathology imaging and single-cell RNA sequencing for cancer prognosis. The key objectives of this 2-year project are to: 1)...
This $175,000 two-year 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 fund research at the University of Southern California to develop more explainable artificial intelligence agents with common sense capabilities. The grant aims to advance techniques for AI agents to reason in novel situations, complete open-world narratives, and provide commonsense...
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...
This Project Grant award for $175,000 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project, titled "Formalizing Human-Interpretable Machine Learning," aims to develop approaches for training artificial intelligence systems, such as self-driving cars, to make their decision-making processes more transparent and interpretable to people. The research will involve pairing...
This 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), provides $576,351 to Purdue University to advance fair and explainable artificial intelligence through new algorithms and human-centered approaches. The award supports research activities from August 15, 2022 to July 31, 2027 to develop a family of fair, explainable, and robust data mining algorithms with...
This EAGER (Early-Concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will develop generative artificial intelligence (AI) methods to learn from computational physics simulations and mathematical equations. The $300,000 project aims to expand the capabilities of large language models, such as OpenAI's ChatGPT and Microsoft's Copilot, to go beyond text-based learning and make predictions on complex, coupled physics problems...
This Project Grant award from the National Science Foundation (NSF) under the Integrative Activities program (CFDA 47.083) aims to develop an explainable AI-supported performance monitoring system for distributed sustainable energy networks. The $286,612 award to the University of Nevada, Las Vegas (UNLV) will fund research to address reliability concerns in sustainable energy systems through a hierarchical learning framework, multi-modal anomaly detection, and an explainable AI module. The...