15 天前 - … The findings of the study demonstrated that the Dyna-Q-based architecture
surpasses conventional approaches with respect to adaptability, real-time, and optimality. Dyna …

21 天前 - … Lastly, the thesis demonstrates integration of the architecture with additional NC
systems for deep learning capabilities. The final proposed NC-SOFM architecture …

51 天前 - … , and machine learning. This paper provides an overview of recent advancements in
parallel … at harnessing the computational power of parallel architectures, such as multi-core …

52 天前 - … to accelerate shimming by incorporating deep learning (DL). These AI-driven
shimming studies cover the full DL pipeline from data acquisition, preprocessing, architecture …

52 天前 - … to be efficiently performed on edge devices. In this study, we design custom
instructions based on the RISC-V P extension for rewriting strategies to accelerate deep learning …

62 天前 - … infer and accelerate pruned models, improving model performance through
parallel computing and optimized hardware architecture. Classification recognition result/generated …

73 天前 - … architectures are evolving to enable higher DL performance. In this article, we survey
both academic and industrial FPGA architecture … basics of FPGA architecture and how its …

85 天前 - … to present current research topics in implementation attacks, efficient and secure
HW/SW implementations, attack-resilient architectures and schemes, hardware intrinsic …

89 天前 - … of the study demonstrated that the Dyna-Q-based architecture … study presents
a novel energy management architecture for FCHEVs that leverages reinforcement learning …

111 天前 - … With current projections forecasting … hardware architectures, including neuromorphic
[3]-[6] and analog-in-Memory Computing (AiMC) [7]. Sculpturing, however, an AI hardware …