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Position: 吳俊逸 > Latest Articles
by 吳俊逸 2021-09-12 16:14:12, Reply(0), Views(29)
Ref: https://china.hket.com/article/3052443/中國研製超硬「高熵玻璃」%20手機永不爆Mon不是夢中國科學院過程工程研究所研究員李建強團隊,據報研製出一種高熵玻璃,其擁有破紀錄硬度,多項指標也遠超美國康寧公司的主流產品——「第六代大猩猩玻璃(曾被稱為有史以來最堅強手機屏幕)」。該成果已在《細胞》子刊iScience上發表。
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by 吳俊逸 2021-09-11 11:59:38, Reply(0), Views(30)
https://developer.nvidia.com/blog/new-on-ngc-catalog-samsung-sdss-brightrics-an-ai-accelerator-for-automating-and-accelerating-deep-learning-training/Samsung SDS Brightics, an AI Accelerator for Automating and Accelerating Deep Learning TrainingTraining AI models is an extremely time-consuming process. Without proper insight into a feasible alternative to time-consuming development and migration of model training to exploit the power of large, distributed clusters, training projects remain considerably long lasting. To address these issues, Samsung SDS developed the Brightics AI Accelerator. The Kubernetes-based, containerized application, is now available on the NVIDIA NGC catalog – a GPU-optimized hub for AI and HPC containers, pre-trained models, industry SDKs, and Helm charts that helps simplify and accelerate AI development and deployment processes.  
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by 吳俊逸 2021-07-07 00:51:09, Reply(0), Views(475)
REF:https://clarivate.com.tw/blog/2019/10/29/ten-hacks-to-unlock-the-value-of-patent-analytics如何分析海量增長的專利資訊,挖掘潛在價值? 
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by 吳俊逸 2021-03-10 23:15:27, Reply(0), Views(784)
key: 1) model export as (pkcls) 2) data export as (tab) 3) import Orange (install Orange3) & pickletrain your model, and save the model as pkcls. Moreover, save your test data as ta
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by 吳俊逸 2021-02-10 12:59:42, Reply(0), Views(673)
Ref: https://www.appliedmaterials.com/ja/nanochip/nanochip-fab-solutions/july-2018/leveraging-the-digital-twin-in-smart-microelectronics-manufacturingBy James MoyneAmong the many tenets of smart manufacturing,[1] “digital twin” solutions represent a significant opportunity for microelectronics manufacturers to leverage existing and emerging technologies to improve quality and throughput, and reduce variability and cost.
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by 吳俊逸 2021-02-10 12:47:44, Reply(0), Views(1822)
Ref:http://franktsao.blogspot.com/2009/10/apc.html曹永誠 [刊登於電機月刊第174期 (2005年6月)]1、前言以一座八吋晶圓廠來說,投資額約在200億~300億,而12吋晶圓
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by 吳俊逸 2020-11-19 19:09:27, Reply(0), Views(920)
https://www.lexalytics.com/lexablog/text-analytics-nlp-rpa-use-casesThis article explains everything you need to know about text analytics and natural language processing in robotic process automation. First, we define RPA and natural language processing, and explain how they fit together. Then we outline a number of trending text analytics use cases in RPA. Finally, we cite Forrester and Gartner to put these use cases in perspective and explain how the RPA market is changing, and where it’s going. As we demonstrate, the future of RPA is in better analytics and customization with larger, transformational use cases. To stay ahead, RPA vendors must improve their NLP capabilities.
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by 吳俊逸 2020-10-21 01:47:15, Reply(0), Views(7768)
原文網址:https://kknews.cc/tech/38qm5l8.html
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by 吳俊逸 2020-06-08 00:00:35, Reply(0), Views(763)
REF: https://machinelearningmastery.com/how-to-get-started-with-deep-learning-for-time-series-forecasting-7-day-mini-course/Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality.
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by 吳俊逸 2020-05-12 10:36:05, Reply(0), Views(476)
Ref: https://www.kdnuggets.com/2019/12/mathworks-predictive-maintenance-theory-practice.html?s_v1=30212&elqem=2962332_EM_WW_20-05_NEWSLETTER_CG-DIGEST-DEFAULTThese days you keep hearing about predictive maintenance and how valuable it is. It’s the utopia where equipment operators can anticipate impending malfunctions, preemptively schedule repairs, minimize disruption to factory operation, and, most importantly, protect equipment from catastrophic failures. With bright eyes, we can all agree on the value of predictive maintenance, or should I say the expected value of predictive maintenance?
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