A powerful tool for implementing Bayesian optimization: 'Pipeline Pilot'
The ultimate tool that enables effective utilization of various data, capable of implementing machine learning and easily performing 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 capabilities with Python, R, and web services *For more details, please contact us.
basic information
It 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, allowing for efficient execution of the recently highlighted Bayesian optimization. *For more details, please contact us.*
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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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The second session will be held on October 23 (Thursday). A series of 7 webinars titled "Research Environments Changing with Reality and Virtuality" - Online Seminar.
Our company, Wavefront Inc., will hold an online seminar series titled "Transforming Research Environments with Real and Virtual - New Norms in 'Experimentation and Operations' Opened by DX." The next session, the second of the series, will be held on October 23 (Thursday) at 14:00, featuring "BIOVIA Discovery Studio - Introduction to Modeling and Simulation for Pharmaceutical Research." In recent years, we have received many inquiries from customers asking, "How should we advance the DX of our labs?" "What tools are available?" and "I want to see the actual screens." In this webinar, we will introduce BIOVIA brand products that support problem-solving by merging real and virtual environments over seven sessions. We will provide tips useful for the DX of research and development environments, incorporating actual screen demos and specific case studies. This seminar will be approximately 30 minutes long and can be attended online via computer or smartphone. If you are interested in virtual labs and simulations in research and development, please feel free to join us. For more details, please check the "Details/Registration" link below.
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7-part series webinar "Changing Research Environments with Real and Virtual - New Common Sense in 'Experiments and Operations' Opened Up by DX" Online Seminar Held
Our company, Wavefront Inc., will hold an online seminar series titled "Changing Research Environments with Real and Virtual - New Norms in 'Experimentation and Operations' Opened Up by DX." In recent years, we have received many inquiries from customers asking, "How should we proceed with the DX transformation of our lab?" "What tools are available?" and "I want to see actual screens." In this webinar series, we will introduce BIOVIA brand products that support problem-solving by integrating real and virtual environments over seven sessions. We will provide tips useful for the DX transformation of research and development environments, incorporating actual screen demos and specific case studies. This seminar will be approximately 30 minutes long and can be attended online via computer or smartphone. If you are interested in virtual labs or simulations in research and development, please feel free to join us. For more details, please check the "Details/Registration" link below.
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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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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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.