Energy per Token: The Power Footprint of AI
How much electricity does an AI response actually use? Measuring energy per token on accessible hardware, and finding which choices save the most.
Brian R. King
Associate Professor of Computer Science at Bucknell University. I teach and research AI and machine learning, especially for sequential and time-series data, and extended reality (XR), which conveniently serves as my escape from the realities of academia.
Recent work
No matching items
Upcoming talks
| Date | Title | Venue |
|---|---|---|
| Nov 17 | Understanding AI: A Talk for Curious Minds | Bucknell Institute for Lifelong Learning (BILL) — Special Presentation Tea & Talk |
No matching items
Recent talks & workshops
| Date | Title | Venue |
|---|---|---|
| Oct 2026 | Faculty Conversation on AI in Engineering Education | College of Engineering Faculty & Staff Community Series — noon, Dana 113. With Elif Miskioğlu, Nate Siegel and Margot Vigeant; moderated by Amal Kabalan |
| Oct 2026 | How AI data centers could affect Pennsylvania’s water and electricity | WITF (NPR), The Spark with Asia Tabb |
| Sep 2026 | Vibe Coding 101 | App MakerSpace, Perricelli-Gegnas Center for Entrepreneurship & Innovation |
| May 2026 | Beyond the Prompt: A Hands-On Introduction to Agentic AI | Bucknell University — Dominguez Center for Data Science (faculty & staff) |
No matching items
Current roles
- Xin Xu Faculty Fellow in Computer Science & Engineering: Bridging AI and XR
- Academic AI Advisory Group, College of Engineering representative
- App MakerSpace (PGCEI), co-founder and Faculty Guru
- AAC&U Institute on AI, Pedagogy & Curriculum, 2025–26
From the blog
No matching items