题目:Learning Computational Wisdom with Circuits: from EDA to General Hard Problem-Solving报告人:徐强,香港中文大学教授时间:2023年12月20日(星期三)10:00地点:上海交通大学闵行校区 陈瑞球楼107主持人:严骏驰,上海交通大学教授 摘要 In many...
Linear Circuits 1: DC Analysis Week 1 Like I said, the quizzes of this course will be a headache, it's best to get as much as possible from the lectures.Graded quizzes are locked for me, I only get to do the practice ones. The lectures are given by a group led by Prof. Bonni...
and describes its application to Printed Circuit Boards (PCBs) redesign problems in a computer aided design (CAD). Using the conventional CAD systems which explicitly decide the parts' placements by a knowledge base, the systems cannot effectively place the parts as done ...
We validate the feasibility of the circuit design using high-fidelity simulation tools and propose an efficient implementation of neuromodulatory tuning using integrated analog circuits that consume significantly less power than digital hardware (GPU/CPU). Keywords: power-constrained devices; low-power ...
This technology has the potential to revolutionize the way UAVs are powered and operated, offering benefits such as extended flight times, improved convenience and reduced downtime for recharging. On the other side, irrespective of the nature of the mission, the primary complexities in the design ...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2021. Boundary augment: A data augment method to defend poison attack. [link] Xuan Chen, Yuena Ma, Shiwei Lu, and Yu Yao. IET Image Processing, 2021. Bridging Mode Connectivity in Loss Landscapes and Adversarial ...
In: 2020 21st International Symposium on Quality Electronic Design (ISQED). IEEE; 2020. p. 323–8. Bouhamed O, Ghazzai H, Besbes H, Massoud Y. Autonomous UAV navigation: a DDPG-based deep reinforcement learning approach. In: 2020 IEEE International Symposium on Circuits and Systems (ISCAS)...
Nanowire Networks (NWNs) belong to an emerging class of neuromorphic systems that exploit the unique physical properties of nanostructured materials. In addition to their neural network-like physical structure, NWNs also exhibit resistive memory switchin
circuits to quickly jump to conclusions, while higher synchrony allowed for better integration of evidence and more robust working memory. Strict tests were applied to ensure reproducibility and generality of the obtained results. Here, we identify links between brain structure and function that enable...
Yibo Lin, Zixuan Jiang,Jiaqi Gu,Wuxi Li, Shounak Dhar, Haoxing Ren, Brucek Khailany andDavid Z. Pan, "DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020 ...