Zobrazeno 1 - 10
of 1 221
pro vyhledávání: '"Hawks, P."'
Autor:
Baldi, Tommaso, Campos, Javier, Hawks, Ben, Ngadiuba, Jennifer, Tran, Nhan, Diaz, Daniel, Duarte, Javier, Kastner, Ryan, Meza, Andres, Quinnan, Melissa, Weng, Olivia, Geniesse, Caleb, Gholami, Amir, Mahoney, Michael W., Loncar, Vladimir, Harris, Philip, Agar, Joshua, Qin, Shuyu
Extreme data rate scientific experiments create massive amounts of data that require efficient ML edge processing. This leads to unique validation challenges for VLSI implementations of ML algorithms: enabling bit-accurate functional simulations for
Externí odkaz:
http://arxiv.org/abs/2406.19522
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Five decades into the era of mass incarceration, a growing number of older adults have experienced criminal legal involvement (CLI) in their lifetime. Studies have shown that prior incarceration is associated with substantial dise
Externí odkaz:
https://doaj.org/article/de819308738e4748b0d951b9eea99e85
Autor:
Agarwal, Manan, Alameda, Jay, Audenaert, Jeroen, Benoit, Will, Beveridge, Damon, Bhattacharya, Meghna, Chatterjee, Chayan, Chatterjee, Deep, Chen, Andy, Cholayil, Muhammed Saleem, Chou, Chia-Jui, Choudhary, Sunil, Coughlin, Michael, Dax, Maximilian, Desai, Aman, Di Luca, Andrea, Duarte, Javier Mauricio, Farrell, Steven, Feng, Yongbin, Goodarzi, Pooyan, Govorkova, Ekaterina, Graham, Matthew, Guiang, Jonathan, Gunny, Alec, Guo, Weichangfeng, Hakenmueller, Janina, Hawks, Ben, Hsu, Shih-Chieh, Jawahar, Pratik, Ju, Xiangyang, Katsavounidis, Erik, Kellis, Manolis, Khoda, Elham E, Lahbabi, Fatima Zahra, Lian, Van Tha Bik, Liu, Mia, Malanchev, Konstantin, Marx, Ethan, McCormack, William Patrick, McLeod, Alistair, Mo, Geoffrey, Moreno, Eric Anton, Muthukrishna, Daniel, Narayan, Gautham, Naylor, Andrew, Neubauer, Mark, Norman, Michael, Omer, Rafia, Pedro, Kevin, Peterson, Joshua, Pürrer, Michael, Raikman, Ryan, Raj, Shivam, Ricker, George, Robbins, Jared, Samani, Batool Safarzadeh, Scholberg, Kate, Schuy, Alex, Skliris, Vasileios, Soni, Siddharth, Sravan, Niharika, Sutton, Patrick, Villar, Victoria Ashley, Wang, Xiwei, Wen, Linqing, Wuerthwein, Frank, Yang, Tingjun, Yeh, Shu-Wei
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing these datasets requires both sufficient compute power and efficient w
Externí odkaz:
http://arxiv.org/abs/2306.08106
Autor:
Rebekah J. Walker, Caitlin Magro, Rabia Amjad, Laura C. Hawks, Sandra Iregbu, Leonard E. Egede
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background The prevalence of cardiovascular disease is burgeoning in low- and middle-income countries (LMICs). In sub-Saharan Africa, the prevalence of cardiovascular risk factors is increasing, though rates of CVD diagnosis and management r
Externí odkaz:
https://doaj.org/article/588bdd6e1cec45388bd135812d9c6247
Publikováno v:
Annals of Human Biology, Vol 51, Iss 1 (2024)
AbstractBackground Six Homo naledi early juveniles were recovered from U.W. 101 (Dinaledi Chamber), U.W. 102 (Lesedi Chamber), and U.W. 110 in the Rising Star cave system.Aim This paper develops the information for the H. naledi early juvenile life s
Externí odkaz:
https://doaj.org/article/b8ae7d2122ca47b0b6d70b677b841ecf
Autor:
Duarte, Javier, Tran, Nhan, Hawks, Ben, Herwig, Christian, Muhizi, Jules, Prakash, Shvetank, Reddi, Vijay Janapa
Applications of machine learning (ML) are growing by the day for many unique and challenging scientific applications. However, a crucial challenge facing these applications is their need for ultra low-latency and on-detector ML capabilities. Given th
Externí odkaz:
http://arxiv.org/abs/2207.07958
Autor:
Borras, Hendrik, Di Guglielmo, Giuseppe, Duarte, Javier, Ghielmetti, Nicolò, Hawks, Ben, Hauck, Scott, Hsu, Shih-Chieh, Kastner, Ryan, Liang, Jason, Meza, Andres, Muhizi, Jules, Nguyen, Tai, Roy, Rushil, Tran, Nhan, Umuroglu, Yaman, Weng, Olivia, Yokuda, Aidan, Blott, Michaela
We present our development experience and recent results for the MLPerf Tiny Inference Benchmark on field-programmable gate array (FPGA) platforms. We use the open-source hls4ml and FINN workflows, which aim to democratize AI-hardware codesign of opt
Externí odkaz:
http://arxiv.org/abs/2206.11791
Autor:
Pappalardo, Alessandro, Umuroglu, Yaman, Blott, Michaela, Mitrevski, Jovan, Hawks, Ben, Tran, Nhan, Loncar, Vladimir, Summers, Sioni, Borras, Hendrik, Muhizi, Jules, Trahms, Matthew, Hsu, Shih-Chieh, Hauck, Scott, Duarte, Javier
We present extensions to the Open Neural Network Exchange (ONNX) intermediate representation format to represent arbitrary-precision quantized neural networks. We first introduce support for low precision quantization in existing ONNX-based quantizat
Externí odkaz:
http://arxiv.org/abs/2206.07527
Autor:
Z. W. Hawks, E. D. Beck, L. Jung, L. M. Fonseca, M. J. Sliwinski, R. S. Weinstock, E. Grinspoon, I. Xu, R. W. Strong, S. Singh, H. P. A. Van Dongen, M. R. Frumkin, J. Bulger, M. J. Cleveland, K. Janess, Y. C. Kudva, R. Pratley, M. R. Rickels, S. R. Rizvi, N. S. Chaytor, L. T. Germine
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Type 1 diabetes (T1D) is a chronic condition characterized by glucose fluctuations. Laboratory studies suggest that cognition is reduced when glucose is very low (hypoglycemia) and very high (hyperglycemia). Until recently, technological lim
Externí odkaz:
https://doaj.org/article/c3e55525fc5b41ed826807083ae07618
Autor:
Deiana, Allison McCarn, Tran, Nhan, Agar, Joshua, Blott, Michaela, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Hauck, Scott, Liu, Mia, Neubauer, Mark S., Ngadiuba, Jennifer, Ogrenci-Memik, Seda, Pierini, Maurizio, Aarrestad, Thea, Bahr, Steffen, Becker, Jurgen, Berthold, Anne-Sophie, Bonventre, Richard J., Bravo, Tomas E. Muller, Diefenthaler, Markus, Dong, Zhen, Fritzsche, Nick, Gholami, Amir, Govorkova, Ekaterina, Hazelwood, Kyle J, Herwig, Christian, Khan, Babar, Kim, Sehoon, Klijnsma, Thomas, Liu, Yaling, Lo, Kin Ho, Nguyen, Tri, Pezzullo, Gianantonio, Rasoulinezhad, Seyedramin, Rivera, Ryan A., Scholberg, Kate, Selig, Justin, Sen, Sougata, Strukov, Dmitri, Tang, William, Thais, Savannah, Unger, Kai Lukas, Vilalta, Ricardo, Krosigk, Belinavon, Warburton, Thomas K., Flechas, Maria Acosta, Aportela, Anthony, Calvet, Thomas, Cristella, Leonardo, Diaz, Daniel, Doglioni, Caterina, Galati, Maria Domenica, Khoda, Elham E, Fahim, Farah, Giri, Davide, Hawks, Benjamin, Hoang, Duc, Holzman, Burt, Hsu, Shih-Chieh, Jindariani, Sergo, Johnson, Iris, Kansal, Raghav, Kastner, Ryan, Katsavounidis, Erik, Krupa, Jeffrey, Li, Pan, Madireddy, Sandeep, Marx, Ethan, McCormack, Patrick, Meza, Andres, Mitrevski, Jovan, Mohammed, Mohammed Attia, Mokhtar, Farouk, Moreno, Eric, Nagu, Srishti, Narayan, Rohin, Palladino, Noah, Que, Zhiqiang, Park, Sang Eon, Ramamoorthy, Subramanian, Rankin, Dylan, Rothman, Simon, Sharma, Ashish, Summers, Sioni, Vischia, Pietro, Vlimant, Jean-Roch, Weng, Olivia
Publikováno v:
Front. Big Data 5, 787421 (2022)
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science -- the concept of integrating power ML methods into the real-time experimental data processing loop to accelerate scientific discovery.
Externí odkaz:
http://arxiv.org/abs/2110.13041