Zobrazeno 1 - 10
of 528
pro vyhledávání: '"Lee， Yejin"'
Autor:
Lee, Yejin, Sun, Anna, Hosmer, Basil, Acun, Bilge, Balioglu, Can, Wang, Changhan, Hernandez, Charles David, Puhrsch, Christian, Haziza, Daniel, Guessous, Driss, Massa, Francisco, Kahn, Jacob, Wan, Jeffrey, Reizenstein, Jeremy, Zhai, Jiaqi, Isaacson, Joe, Schlosser, Joel, Pino, Juan, Sadagopan, Kaushik Ram, Shamis, Leonid, Ma, Linjian, Hwang, Min-Jae, Chen, Mingda, Elhoushi, Mostafa, Rodriguez, Pedro, Pasunuru, Ram, Yih, Scott, Popuri, Sravya, Liu, Xing, Wu, Carole-Jean
Generative artificial intelligence (AI) technology is revolutionizing the computing industry. Not only its applications have broadened to various sectors but also poses new system design and optimization opportunities. The technology is capable of un
Externí odkaz:
http://arxiv.org/abs/2410.00215
Autor:
Shokri, Sanaz, Ceccardi, Michele, Confalone, Tommaso, Saggau, Christian N., Lee, Yejin, Martini, Mickey, Gu, Genda, Vinokur, Valerii M., Pallecchi, Ilaria, Nielsch, Kornelius, Caglieris, Federico, Poccia, Nicola
Publikováno v:
Advanced Electronic Materials manuscript, 2024, aelm.202400496R1
Thermoelectric transport has been widely used to study Abrikosov vortex dynamics in unconventional superconductors. However, only a few thermoelectric studies have been conducted near the dimensional crossover that occurs when the vortex-vortex inter
Externí odkaz:
http://arxiv.org/abs/2409.17712
Autor:
Wang, Ruiqi, Wang, Zichen, Gao, Peiqi, Li, Mingzhen, Jeong, Jaehwan, Xu, Yihang, Lee, Yejin, Baum, Carolyn M., Connor, Lisa Tabor, Lu, Chenyang
With advancements in computer vision and deep learning, video-based human action recognition (HAR) has become practical. However, due to the complexity of the computation pipeline, running HAR on live video streams incurs excessive delays on embedded
Externí odkaz:
http://arxiv.org/abs/2409.05662
Autor:
Jin, Haolin, Serpico, Giuseppe, Lee, Yejin, Confalone, Tommaso, Saggau, Christian N., Sardo, Flavia Lo, Gu, Genda, Goodge, Berit H., Lesne, Edouard, Montemurro, Domenico, Nielsch, Kornelius, Poccia, Nicola, Vool, Uri
The advent of two-dimensional van der Waals materials is a frontier of condensed matter physics and quantum devices. However, characterizing such materials remains challenging due to the limitations of bulk material techniques, necessitating the deve
Externí odkaz:
http://arxiv.org/abs/2408.12383
Autor:
Golden, Alicia, Hsia, Samuel, Sun, Fei, Acun, Bilge, Hosmer, Basil, Lee, Yejin, DeVito, Zachary, Johnson, Jeff, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations training state-of-the-art Generative AI models have reported cases of instability dur
Externí odkaz:
http://arxiv.org/abs/2405.02803
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 2, p e15727 (2020)
BackgroundTuberculosis (TB) is the leading cause of death from a single infectious agent, with around 1.5 million deaths reported in 2018, and is a major contributor to suffering worldwide, with an estimated 10 million new cases every year. In the co
Externí odkaz:
https://doaj.org/article/e7af7116f4b34249a93a6df3d626ba37
Autor:
Agarwal, Saurabh, Acun, Bilge, Hosmer, Basil, Elhoushi, Mostafa, Lee, Yejin, Venkataraman, Shivaram, Papailiopoulos, Dimitris, Wu, Carole-Jean
Large Language Models (LLMs) with hundreds of billions of parameters have transformed the field of machine learning. However, serving these models at inference time is both compute and memory intensive, where a single request can require multiple GPU
Externí odkaz:
http://arxiv.org/abs/2403.08058
Autor:
Golden, Alicia, Hsia, Samuel, Sun, Fei, Acun, Bilge, Hosmer, Basil, Lee, Yejin, DeVito, Zachary, Johnson, Jeff, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal information presents unique challenges to quality, performance, and efficiency.
Externí odkaz:
http://arxiv.org/abs/2312.14385
Autor:
Martini, Mickey, Confalone, Tommaso, Lee, Yejin, Rubrecht, Bastian, Serpico, Giuseppe, Shokri, Sanaz, Saggau, Christian N., Montemurro, Domenico, Vinokur, Valerii M., Isaeva, Anna, Nielsch, Kornelius, Poccia, Nicola
Utilizing an interplay between band topology and intrinsic magnetism, the two-dimensional van der Waals (vdW) system MnBi_2Te_4 provides an ideal platform for realizing exotic quantum phenomena and offers great opportunities in the emerging field of
Externí odkaz:
http://arxiv.org/abs/2311.08953
Autor:
Saggau, Christian N., Shokri, Sanaz, Martini, Mickey, Confalone, Tommaso, Lee, Yejin, Wolf, Daniel, Gu, Genda, Brosco, Valentina, Montemurro, Domenico, Vinokur, Valerii M., Nielsch, Kornelius, Poccia, Nicola
Publikováno v:
ACS Appl. Mater. Interfaces 2023
Inherent properties of superconducting Bi2Sr2CaCu2O8+x films, such as the high superconducting transition temperature Tc, efficient Josephson coupling between neighboring CuO layers, and fast quasiparticle relaxation dynamics, make them a promising p
Externí odkaz:
http://arxiv.org/abs/2311.00602