Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- Artificial Intelligence (AI) (1)
- Benefits of AI (1)
- Bias in AI Systems (1)
- Conceptual Investigation (1)
- Data-drive decarbonization (1)
-
- Decarbonization (1)
- Deep Learning (1)
- Energy Estimation (1)
- Energy grid (1)
- Equity (1)
- Equity aware algorithms (1)
- Ethical Considerations (1)
- Feasibility Analysis (1)
- Fixed-Priority (1)
- Future AI (1)
- Heat pumps (1)
- Human-AI Interaction (1)
- Human-Machine Interaction (1)
- Job Displacement (1)
- Machine Learning (1)
- Metamophosis (1)
- Multi-Core Platform (1)
- Natural Language Processing (1)
- Optimization (1)
- Quantum Computing (1)
- Real-Time Scheduling (1)
- Residential heating (1)
- Risks of AI (1)
- Robotics (1)
- SWOT (1)
Articles 1 - 4 of 4
Full-Text Articles in Systems Architecture
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)
Library Philosophy and Practice (e-journal)
Abstract
Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …
Data-Driven Decarbonization Of Residential Heating Systems: An Equity Perspective., John Wamburu, Emma Grazier, David Irwin, Christine Crago, Prashant Shenoy
Data-Driven Decarbonization Of Residential Heating Systems: An Equity Perspective., John Wamburu, Emma Grazier, David Irwin, Christine Crago, Prashant Shenoy
Publications
Since heating buildings using natural gas, propane and oil makes up a significant proportion of the aggregate carbon emissions every year, there is a strong interest in decarbonizing residential heating systems using new technologies such as electric heat pumps. In this poster, we conduct a data-driven optimization study to analyze the potential of replacing gas heating with electric heat pumps to reduce carbon emissions in a city-wide distribution grid. We seek to not only reduce the carbon footprint of residential heating, but also show how to do so equitably. Our results show that lower income homes have an energy usage …
Incorporating Energy Related Concepts Into Ee And Cs Laboratory Work And Coursework, Jack Adams, Christopher S. Stuetzle
Incorporating Energy Related Concepts Into Ee And Cs Laboratory Work And Coursework, Jack Adams, Christopher S. Stuetzle
Electrical Engineering Faculty Publications
During the course of this interdisciplinary effort, members of the Electrical Engineering (EE) and Computer Science (CS) departments collaborated on energy related curricular efforts. Initially work was carried out to develop and utilize an inexpensive, open-source system for measuring, storing, and displaying energy related data from across campus. Hardware and software components chosen were open source or free for educational use. A low power Linux server was utilized. The LAN-enabled Arduinos included sensors to measure energy related quantities such as power and temperature. EE and CS students were engaged in various aspects of the project – EE students focused on …
Real-Time Scheduling Of Embedded Applications On Multi-Core Platforms, Ming Fan
Real-Time Scheduling Of Embedded Applications On Multi-Core Platforms, Ming Fan
FIU Electronic Theses and Dissertations
For the past several decades, we have experienced the tremendous growth, in both scale and scope, of real-time embedded systems, thanks largely to the advances in IC technology. However, the traditional approach to get performance boost by increasing CPU frequency has been a way of past. Researchers from both industry and academia are turning their focus to multi-core architectures for continuous improvement of computing performance. In our research, we seek to develop efficient scheduling algorithms and analysis methods in the design of real-time embedded systems on multi-core platforms. Real-time systems are the ones with the response time as critical as …