Analyze experimental results and utilize them with machine learning 'PipelinePilot'
Just connect over 3000 parts! Ideal for narrowing down candidates during new material development. With machine learning capabilities, it's effective for a wide variety of business improvements!
PipelinePilot is software that allows all tasks related to data analysis, such as data preprocessing, analysis, and visualization through graph creation, to be performed on a single product. - There are many "experimental result" data sets, but I don't know how to analyze them and want to utilize them. - I want to use machine learning to see trends from the "experimental results." - And more. It can be used for narrowing down candidates during new development or discovering correlations in complex data where relationships are not apparent. 【Features】 ◆ Easily create data processing flows without programming knowledge. ◆ Simplifies data preprocessing, which can be a bottleneck when handling large-scale data. ◆ Many successful implementations in chemical and drug discovery companies. *For more details, please contact us.
basic information
The analysis section supports a wide range of methods, from standard statistical analysis to machine learning and deep learning, and includes a standard feature for "fingerprinting that quantifies chemical formulas," which is necessary when conducting the increasingly popular field of materials informatics. *For more details, please contact us.*
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Applications/Examples of results
We have a proven track record of implementation 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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[Notice] We will hold an online seminar titled "Examples of Using Machine Learning Tools in 45 Minutes" on October 14 (Wednesday).
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).
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 "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 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).
The second installment of the online seminar that received a great response the other day! We will introduce case studies using "tools" with 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 "Materials Informatics (MI)," including "multi-objective optimization using Machine Learning," "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).
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 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 perspective, 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] An online seminar on the application examples of "Materials Informatics" will be held on June 25 (Thursday).
In recent years, "Materials Informatics" has garnered significant attention as a technology that enables the efficient exploration of innovative material development. We will hold an online seminar recommended for those who are wondering, "How should I approach and utilize this? Where should I start?" 【Date and Time】June 25, 2020 (Thursday) 13:15 - 14:00 (scheduled for 45 minutes) 【Participation Fee】Free (pre-registration required) 【Target Audience】Anyone interested in "Materials Informatics" 【Method of Implementation】Held online (Web) *The participation URL will be sent to those who register later. 【Overview & Registration】Please register from the following page www.wavefront.co.jp/news/20200625-MI_seminar ★We sincerely look forward to your participation!♪★
