Project Grant 2442814
Award Date
6/15/25
Completion Date
5/31/30
Dollars Obligated
$359K
Federal Agency
Division of Information and Intelligent Systems
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Santa Clara, CA 95050, USA
Similar Awards
This $200,000 Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of a novel multi-camera surveillance system for smart city applications. The project aims to create a scalable, efficient, and privacy-preserving real-time system that leverages distributed edge devices and cloud computing to capture and analyze video data. Key technical innovations include advanced...
This $150,000 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is supporting research on improving anomaly detection techniques for the Internet of Things (IoT). The project aims to address technical gaps in the widespread adoption of novelty detection models by developing methods to generate labeled datasets and enable the transfer of models from controlled lab settings to real-world IoT deployments....
This Project Grant award from the National Science Foundation Division of Computer and Network Systems provides $148,867 to support research into cooperative neuro-inspired anomaly detection models for connected vehicles. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the two-year award to Texas State University aims to develop novel algorithmic methods and multi-agent models to identify anomalous sensor readings that could pose safety risks in...
This $341,618 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop a new computational framework for understanding human behavior and activities in 4D (3D over time) from video. The project will create a scalable, transformer-based model that integrates the 4D state of humans with their surrounding environments, social interactions, and object use. This approach accommodates various video...
This $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to democratize the use of large visual AI models. The research will focus on reducing the data, computation, and expertise required to create and deploy application-specific AI models. Key objectives include developing novel learning approaches for fast model specialization with limited data, advancing inference algorithms to increase...
The National Science Foundation awarded a $340,000 project grant to the Massachusetts Institute of Technology from May 2021 to April 2024. The grant supports the development of a self-tuning anomaly detection service under the Computer and Information Science and Engineering program. This program aims to advance computing and information sciences through investigator-initiated research and cyberinfrastructure development. Specifically, MIT will leverage the grant to create an automated anomaly...
This $298,988 federal Project Grant awarded by the National Science Foundation (NSF) under its Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research to develop a novel score-based approach for quickly detecting abrupt changes in the statistical characteristics of online data streams. The project aims to leverage deep neural networks to learn the score (gradient of the log probability density) of data, which can enable change detection without...
The National Science Foundation (NSF) Division of Computer and Network Systems awarded a $174,178 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the President and Board of Trustees of Santa Clara College. The project aims to develop methods and a system for deploying complex machine learning (ML) models on network processing units (NPUs) to enable ultra low-latency performance for modern applications such as self-driving, security threat...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $496,895 over a 3-year period starting September 1, 2024 to develop a unified framework for simplifying and automating the development, optimization, and adaptation of video analytics pipeline (VAP) applications. The key products and services to be delivered under this grant include: A framework that enables domain experts to specify...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports the "AI Horizon" initiative. This project will develop a data-driven forecasting framework to predict how AI will transform cybersecurity tasks, enabling educators to rapidly adapt curricula. The grant will train approximately 1,000 faculty members and 1,000 students across 470 institutions on leveraging the National AI...