all AI news
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC
May 1, 2024, 4:42 a.m. | Lucas Grativol Ribeiro (IMT Atlantique - MEE, Lab\_STICC\_BRAIn, Lab-STICC\_2AI, LHC), Lubin Gauthier (Lab\_STICC\_BRAIn, IMT Atlantique - MEE), Mathi
cs.LG updates on arXiv.org arxiv.org
Abstract: This paper tackles the challenges of implementing few-shot learning on embedded systems, specifically FPGA SoCs, a vital approach for adapting to diverse classification tasks, especially when the costs of data acquisition or labeling prove to be prohibitively high. Our contributions encompass the development of an end-to-end open-source pipeline for a few-shot learning platform for object classification on a FPGA SoCs. The pipeline is built on top of the Tensil open-source framework, facilitating the design, training, …
abstract acquisition arxiv challenges classification costs cs.ar cs.lg data deployment development diverse embedded few-shot few-shot learning fpga labeling paper pipeline prove soc systems tasks type vital
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Intern - Robotics Industrial Engineer Summer 2024
@ Vitesco Technologies | Seguin, US