https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ec-p/907872#M853 <P>Great video. &nbsp;Amazing to see someone from the audience be able to use it after only a few minutes.</P> <P><LI-WRAPPER><SPAN data-teams="true">&nbsp;</SPAN></LI-WRAPPER></P> Wed, 22 Oct 2025 16:29:55 GMT Emmanuel_Romeu 2025-10-22T16:29:55Z https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ec-p/907031#M848 <P><EM><STRONG>Video using JMP 19 was posted in October 2025.</STRONG></EM></P> <P>Bayesian Optimization accelerates industrial R&amp;D and lowers the barrier to entry. It saves time and resources by learning from observed response values while using the project goals to recommend the settings to test next.</P> <P>&nbsp;</P> <P>See how to use JMP Pro Bayesian optimization tools to go beyond the limitations of &nbsp;traditional DOE, where augmentation is based on previous positioning of experimental points and design space optimality criteria only.</P> <P><div class="video-embed-center video-embed"><iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fplay.vidyard.com%2FZLkWDQfBsiPcLyn655WUsK.html%3Fautoplay%3D0%26custom_id%3D%26embed_button%3D0%26viral_sharing%3D0%26&amp;display_name=Vidyard&amp;url=https%3A%2F%2Fshare.vidyard.com%2Fwatch%2FZLkWDQfBsiPcLyn655WUsK&amp;image=https%3A%2F%2Fplay.vidyard.com%2FZLkWDQfBsiPcLyn655WUsK.jpg%3F&amp;type=text%2Fhtml&amp;schema=vidyard" width="600" height="337" scrolling="no" title="Accelerating Innovation Using Bayesian Optimization" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"></iframe></div></P> <P>Several case studies show how to:</P> <UL> <LI>Start with some data.</LI> <LI>Define goal(s).</LI> <LI>Obtain model.</LI> <LI>Perform a search to find next experimental data point(s).</LI> <LI>Generate response for new data, update model, and repeat until satisfied.</LI> </UL> <P>&nbsp;</P> <P>Resources</P> <UL> <LI><A href="https://iopscience.iop.org/article/10.1088/1742-6596/582/1/012010" target="_self">Prediction of compression strength of high performance concrete using artificial neural networks</A></LI> <LI><A href="https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1751-7915.14003" target="_self">Developing an understanding of sophorolipid synthesis through application of a central composite design model</A></LI> <LI><A href="https://app.jove.com/t/65200/a-workflow-for-lipid-nanoparticle-lnp-formulation-optimization-using" target="_self">A Workflow for Lipid Nanoparticle (LNP) Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models (SVEM)</A></LI> </UL> <P>&nbsp;</P> <UL> <LI>&nbsp;</LI> </UL> Tue, 04 Nov 2025 17:26:22 GMT https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ec-p/907031#M848 gail_massari 2025-11-04T17:26:22Z https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ec-p/907872#M853 <P>Great video. &nbsp;Amazing to see someone from the audience be able to use it after only a few minutes.</P> <P><LI-WRAPPER><SPAN data-teams="true">&nbsp;</SPAN></LI-WRAPPER></P> Wed, 22 Oct 2025 16:29:55 GMT https://community.jmp.com/t5/Learn-JMP-Events/Accelerating-Innovation-Using-Bayesian-Optimization/ec-p/907872#M853 Emmanuel_Romeu 2025-10-22T16:29:55Z