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  6. A powerful tool for implementing Bayesian optimization: 'Pipeline Pilot'

A powerful tool for implementing Bayesian optimization: 'Pipeline Pilot'

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last updated:Apr 21, 2021

ウェーブフロント 本社
ウェーブフロント 本社
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The ultimate tool that enables effective utilization of various data, capable of implementing machine learning and easily executing Bayesian optimization.

PipelinePilot is a powerful data science platform that can process data at high speed. It can handle complex data formats, including text and numerical data, as well as images, chemical structures, and genetic sequences. It meets the diverse needs of various industries such as automotive, aerospace, energy, oil, pharmaceuticals, and biotechnology. 【Features】 ◆ Easily create data processing flows without programming knowledge ◆ Build high-quality models using built-in validation techniques ◆ Rich integration features with Python, R, and web services *For more details, please contact us.

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A powerful tool for implementing Bayesian optimization: 'Pipeline Pilot'

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  • Related Link - https://www.wavefront.co.jp/CAE/BIOVIA/Pipeline%20…

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basic information

This is a powerful software that aggregates data such as text, images, molecular structures, and databases, enabling effective utilization of various data by leveraging machine learning and statistical analysis. It also has integration features with Python and R, and can efficiently perform Bayesian optimization, which has recently gained attention. *For more details, please contact us.*

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Applications/Examples of results

We have a proven track record in a wide variety of scenes, including material manufacturers, manufacturing industries engaged in material development, and related manufacturers in semiconductors and surface treatment.

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Data Analysis Comprehensive Platform (Data Science Tool) 'PipelinePilot'

Data Analysis Comprehensive Platform (Data Science Tool) 'PipelinePilot'

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Materials Development Integrated Simulation Software "Materials Studio"

Materials Development Integrated Simulation Software "Materials Studio"

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Essential for material manufacturers! Electronic lab notebook 'BIOVIA Notebook'

Essential for material manufacturers! Electronic lab notebook 'BIOVIA Notebook'

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[Case Study] Ideal for Lithium-Ion Battery Material Development - Free Case Study Available for 'Materials Studio'!

[Case Study] Ideal for Lithium-Ion Battery Material Development - Free Case Study Available for 'Materials Studio'!

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Easy introduction to the electronic lab notebook 'BIOVIA Notebook'

Easy introduction to the electronic lab notebook 'BIOVIA Notebook'

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[Notice] We will hold an online seminar titled "Examples of Using Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Product news

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" with the theme of the most frequently mentioned "keyword of interest" from the survey responses on the seminar day: [Machine Learning]. This seminar is recommended for those who want to know specific use cases such as "What can 'Machine Learning' actually do?" and "When should I use 'Machine Learning'?" This time, we will take a slightly different perspective and present case studies of "Machine Learning" applications using tools in a broad context, including "Multi-objective Optimization using Machine Learning" in 'Materials Informatics (MI)', "Data Science", and "Image Recognition Processing". ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (Pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page: www.wavefront.co.jp/news/20201014-MI_seminar ★We sincerely look forward to your participation!♪★

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[Notice] We will hold an online seminar titled "Examples of Utilizing Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Other・notification

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" on the theme of the most frequently mentioned "keyword of interest" from the survey responses on the day of the seminar: [Machine Learning]. This seminar is recommended for those who want to know specific use cases such as "What can 'Machine Learning' actually do?" and "When should I use 'Machine Learning'?" This time, we will take a slightly different perspective and introduce case studies of "Machine Learning" using tools from a broad viewpoint, covering "multi-objective optimization using Machine Learning" in 'Materials Informatics (MI)', "Data Science", and "Image Recognition Processing". ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪ ★

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[Notice] We will hold an online seminar on "Examples of Using Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Company news

The second installment of the online seminar that received a tremendous response the other day! We will introduce case studies utilizing "tools" on the theme of the most frequently mentioned "machine learning" from the survey responses on the seminar day regarding "keywords of interest." This seminar is recommended for those who want to know specific use cases such as, "What can 'machine learning' actually do?" and "When should I use 'machine learning'?" This time, we will take a slightly different perspective and present case studies of "machine learning" applications using tools, covering "multi-objective optimization using machine learning," "data science," and "image recognition processing" in the field of 'Materials Informatics (MI)' from a broad viewpoint. ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪ ★

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[Notice] We will hold an online seminar titled "Examples of Utilizing Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).

  • Seminar・Event

The second installment of the online seminar that received a great response the other day! We will introduce case studies utilizing "tools" on the most frequently mentioned keyword from the survey responses on the seminar day: [Machine Learning]. This seminar is recommended for those who want to know specific use cases such as "What can 'Machine Learning' actually do?" and "When should I use 'Machine Learning'?" This time, we will take a slightly different perspective and present case studies of "Machine Learning" applications using tools in a broad context, including "Multi-objective Optimization using Machine Learning" in 'Materials Informatics (MI)', "Data Science", and "Image Recognition Processing". ■ Event Overview 【Date and Time】October 14, 2020 (Wednesday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Method】Held online (Web) 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20201014-MI_seminar ★ We sincerely look forward to your participation! ♪★

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ウェーブフロント

ウェーブフロント 本社

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Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.

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