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pro vyhledávání: '"Young, IS"'
Resistive random-access memory (ReRAM) crossbar arrays are suitable for efficient inference computations in neural networks due to their analog general matrix-matrix multiplication (GEMM) capabilities. However, traditional ReRAM-based accelerators su
Externí odkaz:
http://arxiv.org/abs/2409.16640
Interconnection networks, or `interconnects,' play a crucial role in administering the communication among computing units of high-performance computing (HPC) systems. Efficient provisioning of interconnects minimizes the processing delay wherein com
Externí odkaz:
http://arxiv.org/abs/2409.13281
Digital pathology has made significant advances in tumor diagnosis and segmentation, but image variability due to differences in organs, tissue preparation, and acquisition - known as domain shift - limits the effectiveness of current algorithms. The
Externí odkaz:
http://arxiv.org/abs/2409.13246
Autor:
Kim, Suk Hyun, Park, Kyeong Ho, Lee, Young Gie, Kang, Seong Jun, Park, Yongsup, Kim, Young Duck
Publikováno v:
Nanomaterials 13, 2344 (2023)
Atomically thin two-dimensional (2D) hexagonal boron nitride (hBN) has emerged as an essential material for the encapsulation layer in van der Waals heterostructures and efficient deep ultra-violet optoelectronics. This is primarily due to its remark
Externí odkaz:
http://arxiv.org/abs/2409.08460
Social problems stemming from the shortage of radiologists are intensifying, and artificial intelligence is being highlighted as a potential solution. Recently emerging large-scale generative AI has expanded from large language models (LLMs) to multi
Externí odkaz:
http://arxiv.org/abs/2409.12973
Autor:
Lee, Ji-Eun, Wang, Aifeng, Chen, Shuzhang, Kwon, Minseong, Hwang, Jinwoong, Cho, Minhyun, Son, Ki-Hoon, Han, Dong-Soo, Choi, Jun Woo, Kim, Young Duck, Mo, Sung-Kwan, Petrovic, Cedomir, Hwang, Choongyu, Park, Se Young, Jang, Chaun, Ryu, Hyejin
Publikováno v:
Nature Communications 15, 3971 (2024)
The Berry curvature dipole (BCD) serves as a one of the fundamental contributors to emergence of the nonlinear Hall effect (NLHE). Despite intense interest due to its potential for new technologies reaching beyond the quantum efficiency limit, the in
Externí odkaz:
http://arxiv.org/abs/2408.11658
Autor:
Song, Eric Yilun, Barberena, Diego, Young, Dylan J., Chaparro, Edwin, Chu, Anjun, Agarwal, Sanaa, Niu, Zhijing, Young, Jeremy T., Rey, Ana Maria, Thompson, James K.
In cavity quantum electrodynamics (QED), emitters and a resonator are coupled together to enable precise studies of quantum light-matter interactions. Over the past few decades, this has led to a variety of quantum technologies such as more precise i
Externí odkaz:
http://arxiv.org/abs/2408.11086
Autor:
Young, Aaron, Batagoda, Nevindu M., Zhang, Harry, Dave, Akshat, Pediredla, Adithya, Negrut, Dan, Raskar, Ramesh
Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages Non-Line-of-Sight (NLOS) sensing using single-photon LiDAR to improve visibility and enhance aut
Externí odkaz:
http://arxiv.org/abs/2410.03555
Autor:
Young, Elliot H., Shah, Rajen D.
It is widely recognised that semiparametric efficient estimation can be hard to achieve in practice: estimators that are in theory efficient may require unattainable levels of accuracy for the estimation of complex nuisance functions. As a consequenc
Externí odkaz:
http://arxiv.org/abs/2410.03471
Autor:
Brown, Samuel B., Young, Stephen, Wagenknecht, Adam, Jakubisin, Daniel, Thornton, Charles E., Orndorff, Aaron, Headley, William C.
Denoising autoencoders for signal processing applications have been shown to experience significant difficulty in learning to reconstruct radio frequency communication signals, particularly in the large sample regime. In communication systems, this c
Externí odkaz:
http://arxiv.org/abs/2410.03423