Super-compression of large electron microscopy time series by deep compressive sensing learning [0.03%]
基于深度压缩感知学习的大规模电子显微时间序列超级压缩法
Siming Zheng,Chunyang Wang,Xin Yuan et al.
Siming Zheng et al.
The development of ultrafast detectors for electron microscopy (EM) opens a new door to exploring dynamics of nanomaterials; however, it raises grand challenges for big data processing and storage. Here, we combine deep learning and tempora...
Alauddin Ahmed,Donald J Siegel
Alauddin Ahmed
The H2 capacities of a diverse set of 918,734 metal-organic frameworks (MOFs) sourced from 19 databases is predicted via machine learning (ML). Using only 7 structural features as input, ML identifies 8,282 MOFs with the potential to exceed...
Looking through glass: Knowledge discovery from materials science literature using natural language processing [0.03%]
透过文字看本质：使用自然语言处理从材料科学文献中发现知识
Vineeth Venugopal,Sourav Sahoo,Mohd Zaki et al.
Vineeth Venugopal et al.
Most of the knowledge in materials science literature is in the form of unstructured data such as text and images. Here, we present a framework employing natural language processing, which automates text and image comprehension and precisio...
Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases [0.03%]
基于AI的临床文本结构化研究：八种常见心血管疾病的旧有与新型自然语言处理技术对比评估
Xianghao Zhan,Marie Humbert-Droz,Pritam Mukherjee et al.
Xianghao Zhan et al.
Free-text clinical notes in electronic health records are more difficult for data mining while the structured diagnostic codes can be missing or erroneous. To improve the quality of diagnostic codes, this work extracts diagnostic codes from...
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference [0.03%]
从易得信息生成难觅信息：药物发现和临床推理中的应用
Matthew Amodio,Dennis Shung,Daniel B Burkhardt et al.
Matthew Amodio et al.
Often when biological entities are measured in multiple ways, there are distinct categories of information: some information is easy-to-obtain information (EI) and can be gathered on virtually every subject of interest, while other informat...
A machine learning framework to optimize optic nerve electrical stimulation for vision restoration [0.03%]
一种通过机器学习优化optic神经电刺激以恢复视力的框架
Simone Romeni,Davide Zoccolan,Silvestro Micera
Simone Romeni
Optic nerve electrical stimulation is a promising technique to restore vision in blind subjects. Machine learning methods can be used to select effective stimulation protocols, but they require a model of the stimulated system to generate e...
Predicting material microstructure evolution via data-driven machine learning [0.03%]
基于数据驱动的机器学习预测材料微观组织演化
Elizabeth J Kautz
Elizabeth J Kautz
Predicting microstructure evolution can be a formidable challenge, yet it is essential to building microstructure-processing-property relationships. Yang et al. offer a new solution to traditional partial differential equation-based simulat...
RaFAH: Host prediction for viruses of Bacteria and Archaea based on protein content [0.03%]
基于蛋白质含量的细菌和古菌病毒宿主预测方法RaFAH
Felipe Hernandes Coutinho,Asier Zaragoza-Solas,Mario López-Pérez et al.
Felipe Hernandes Coutinho et al.
Culture-independent approaches have recently shed light on the genomic diversity of viruses of prokaryotes. One fundamental question when trying to understand their ecological roles is: which host do they infect? To tackle this issue we dev...
Neural algorithmic reasoning [0.03%]
神经算法推理
Petar Veličković,Charles Blundell
Petar Veličković
We present neural algorithmic reasoning-the art of building neural networks that are able to execute algorithmic computation-and provide our opinion on its transformative potential for running classical algorithms on inputs previously consi...
Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data [0.03%]
欢迎进入革命：新冠与时空数据民主化
Tom Koch
Tom Koch
On January 22, 2020, Johns Hopkins University launched its online COVID-19 dashboard to track in real time what began in December as the regional outbreak of a novel coronavirus first identified in Wuhan, China. The dashboard and its format...