Zobrazeno 1 - 10
of 1 589
pro vyhledávání: '"Leek, P."'
Autor:
Cao, Shuxiang, Zhang, Zijian, Alghadeer, Mohammed, Fasciati, Simone D, Piscitelli, Michele, Bakr, Mustafa, Leek, Peter, Aspuru-Guzik, Alán
Fully automated self-driving laboratories are promising to enable high-throughput and large-scale scientific discovery by reducing repetitive labour. However, effective automation requires deep integration of laboratory knowledge, which is often unst
Externí odkaz:
http://arxiv.org/abs/2412.07978
Autor:
Fasciati, Simone D., Shteynas, Boris, Campanaro, Giulio, Bakr, Mustafa, Cao, Shuxiang, Chidambaram, Vivek, Wills, James, Leek, Peter J.
We realize a single-Josephson-junction transmon qubit shunted by a simple geometric inductor. We couple it capacitively to a conventional transmon and show that the ZZ interaction between the two qubits is completely suppressed when they are flux-bia
Externí odkaz:
http://arxiv.org/abs/2410.10416
Autor:
Salerno, Stephen, Miao, Jiacheng, Afiaz, Awan, Hoffman, Kentaro, Neufeld, Anna, Lu, Qiongshi, McCormick, Tyler H., Leek, Jeffrey T.
Summary: ipd is an open-source R software package for the downstream modeling of an outcome and its associated features where a potentially sizable portion of the outcome data has been imputed by an artificial intelligence or machine learning (AI/ML)
Externí odkaz:
http://arxiv.org/abs/2410.09665
Large-scale prediction models (typically using tools from artificial intelligence, AI, or machine learning, ML) are increasingly ubiquitous across a variety of industries and scientific domains. Such methods are often paired with detailed data from s
Externí odkaz:
http://arxiv.org/abs/2405.13926
Program similarity has become an increasingly popular area of research with various security applications such as plagiarism detection, author identification, and malware analysis. However, program similarity research faces a few unique dataset quali
Externí odkaz:
http://arxiv.org/abs/2405.03478
In this work, we begin to investigate the possibility of training a deep neural network on the task of binary code understanding. Specifically, the network would take, as input, features derived directly from binaries and output English descriptions
Externí odkaz:
http://arxiv.org/abs/2404.19631
Autor:
Fan, Shuxian, Visokay, Adam, Hoffman, Kentaro, Salerno, Stephen, Liu, Li, Leek, Jeffrey T., McCormick, Tyler H.
In settings where most deaths occur outside the healthcare system, verbal autopsies (VAs) are a common tool to monitor trends in causes of death (COD). VAs are interviews with a surviving caregiver or relative that are used to predict the decedent's
Externí odkaz:
http://arxiv.org/abs/2404.02438
Autor:
Cao, Shuxiang, Shao, Zhen, Zheng, Jian-Qing, Alghadeer, Mohammed, Fasciati, Simone D, Piscitelli, Michele, Taravati, Sajjad, Bakr, Mustafa, Lyons, Terry, Leek, Peter
Quantum state discrimination plays an essential role in quantum technology, crucial for quantum error correction, metrology, and sensing. While conventional methods rely on integrating readout signals or classifying raw signals, we developed a method
Externí odkaz:
http://arxiv.org/abs/2402.09532
As artificial intelligence and machine learning tools become more accessible, and scientists face new obstacles to data collection (e.g. rising costs, declining survey response rates), researchers increasingly use predictions from pre-trained algorit
Externí odkaz:
http://arxiv.org/abs/2401.08702
Publikováno v:
Allergy, Asthma & Clinical Immunology, Vol 20, Iss S3, Pp 1-13 (2024)
Abstract Anaphylaxis is an acute, potentially fatal systemic hypersensitivity reaction with varied mechanisms and clinical presentations. Although prompt recognition and treatment of anaphylaxis are imperative, both patients and healthcare profession
Externí odkaz:
https://doaj.org/article/6c856ee8e2e045eebec4fe09dfd4d376
