IEEE P7100™, Standard for Measurement of Environmental Impacts of Artificial Intelligence Systems
IEEE Standards Association (IEEE SA) extends an invitation for your participation in the Working Group for IEEE P7100™, Standard for Measurement of Environmental Impacts of Artificial Intelligence Systems.
Why Get Involved
This standard defines a measurement framework for reporting on environmental indicators for training models and deriving inference on Artificial Intelligence (AI) systems. This includes harmonized measurements of compute intensity (e.g. energy use) with associated environmental impacts (e.g. carbon dioxide (CO2) emissions, or water consumption). This standard describes methodologies to separate the measurement of AI-specific compute (i.e. data centres used for AI training or inference) from general purpose compute (e.g. data centres used for other purposes like cloud services).
Meeting Details
- Date: 19 September 2024
- Time: 9:00 AM- 12:00 PM EST
- Attendance: In-Person or Virtual
- Attend Virtually: https://events.vtools.ieee.org/m/430522
- Attend In-Person: 3 Park Ave New York City, New York United States
Questions? Contact the Working Group Chair and Program Manager:
- Arti Garg, IEEE P7100™ Working Group Chair
- Jonathan Goldberg, IEEE SA Program Manager
2024 Ethernet & IP @ Automotive Technology Day
The 2024 IEEE SA Ethernet & IP @ Automotive Technology Day (E&IP@ATD) is the premier venue for automobile manufacturers, suppliers, semiconductor vendors, tool providers, engineers, scientists, educators, and the media to share groundbreaking ideas along with implementation strategies and applications related to Automotive Ethernet Systems. Attendees will receive and share information, and actively participate in the latest developments in shaping Automotive Ethernet into a globally deployed, volume car automotive network.
Meeting Details
- Date: 16-17 October 2024
- Location: Fort Pontchartrain Detroit, a Wyndham Hotel | Detroit, Michigan USA
- IEEE P2834.1™, Standard for Digital Forensics on Trusted Learning Systems
- Best practice sharing: Standards and industry connection activities
- TCOS Seed Funding for Innovative Standards Efforts
- Best practice sharing: Standards and industry connection activities
- IEEE P3428™, Standard for Large Language Model Agents for AI-powered Education
- IEEE P3428™, Standard for Large Language Model Agents for AI-powered Education
- IEEE P3429™, Recommended Practices for Levels of Artificial Intelligence Generated Content Technologies
- IEEE P3430™, Recommended Practice for A Holistic Framework for AI Foundation Models
- IEEE P9274.2.1™, Standard for JavaScript Object Notation for Linked Data (JSON-LD) for Application Profiles of Learner Experience Data
- IEEE P3422™, Recommended Practice for Metaverse Ecosystem Reference Models
- IEEE P3394™, Standard for Large Language Model Agent Interface
- IEEE P3419™, Standard for Large Language Model Evaluation
- IEEE P3396™, Recommended Practice for Defining and Evaluating Artificial Intelligence (AI) Risk, Safety, Trustworthiness, and Responsibility
- IEEE P3407™, Standard for End-to-End Software Testing Automation Tools
The IEEE Computer Society is home to 217+ active technical standards, which promote the implementation of technologies moving humanity forward.
We've put together the most up-to-date opportunities for you to get involved in shaping the future standards in your technical domain in 2023.
Bookmark this page and come back regularly to see the most current calls for participation.
About Standards
