Smart sensors using artificial intelligence for on-detector electronics and ASICs
Gabriella Carini, Grzegorz Deptuch, Jennet Dickinson, Dionisio, Doering, Angelo Dragone, Farah Fahim, Philip Harris, Ryan Herbst, Christian, Herwig, Jin Huang, Soumyajit Mandal, Cristina Mantilla Suarez, Allison McCarn, Deiana, Sandeep Miryala, F. Mitchell Newcomer

TL;DR
This paper explores the integration of artificial intelligence into on-detector electronics and ASICs to enhance data processing, reduce system complexity, and enable faster, lower-power feedback in particle physics experiments.
Contribution
It discusses motivations, potential applications, and unique requirements for on-detector AI, and outlines opportunities for advancing machine learning, co-design workflows, and microelectronics technologies.
Findings
Review of current AI hardware for particle physics
Identification of design challenges and opportunities
Proposals for future AI-enabled detector systems
Abstract
Cutting edge detectors push sensing technology by further improving spatial and temporal resolution, increasing detector area and volume, and generally reducing backgrounds and noise. This has led to a explosion of more and more data being generated in next-generation experiments. Therefore, the need for near-sensor, at the data source, processing with more powerful algorithms is becoming increasingly important to more efficiently capture the right experimental data, reduce downstream system complexity, and enable faster and lower-power feedback loops. In this paper, we discuss the motivations and potential applications for on-detector AI. Furthermore, the unique requirements of particle physics can uniquely drive the development of novel AI hardware and design tools. We describe existing modern work for particle physics in this area. Finally, we outline a number of areas of opportunity…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle Detector Development and Performance · Radiation Detection and Scintillator Technologies · Dark Matter and Cosmic Phenomena
