Asymmetry Technologies Inc’s Post

A lot of amazing research happened in 2024. But what was the breakthrough that stood out the most to the team at Science Magazine? Well, read this edition of #ScienceAdviser to find out! https://lnkd.in/gm8SuWVr

Exciting times in science! 🌟 Scientists are working to add Element 120 to the periodic table by smashing atoms together. Stay tuned for groundbreaking updates! #STEMSaturday #Element120 #ScientificDiscovery #PeriodicTable

Great science is responsible for humankind’s greatest achievements, from the small incremental improvements that scientists make daily to life-changing discoveries. Let's bring great science to life: https://bit.ly/3KA6DGd #GreatScience #GreatSciencetoLife

Dive into the fascinating world of science and unravel the mysteries of the 3-body problem! Want to know more? Click on the link to explore https://wix.to/ua5qTZu 🚀 #ScienceExploration #The3BodyProblem #CuriousMinds Check out my blog post https://wix.to/dk3n0hG #newblogpost

Working to harness the groundbreaking potential of Engineering Biology are the final innovators who complete Cohort 2.0 of the Science Creates Accelerator Programme. Concluding our Meet the Cohort series are Alex Ward, Marcos Villeda Hernandez, Clémence Nadal, Martin Currie and Veronika Rattaj - five EngBio founders all working to improve human and planetary health. Discover where they're from and which critical areas they're addressing below, and stay tuned for further updates as the Accelerator progresses. #deeptech #innovation #accelerator #engineeringbiology

Attended Day 2 of an insightful webinar on Dry Lab and Wet Lab Research! Yesterday's session deepened my understanding of how computational and experimental approaches in scientific research complement each other. We explored how Dry Lab techniques—like data analysis, simulations, and modeling—help to predict outcomes, while Wet Lab methods involve hands-on experimentation to validate these predictions. It was a great opportunity to learn from experts led by Adejuwon Adegite in both fields and understand the synergy between theoretical and practical research. Excited to continue learning and exploring how these methods contribute to advancing innovation and discoveries in the scientific community! #DryLab #WetLab #Research #Innovation #STEM #ScientificResearch #Webinar #Learning

Exciting times in science! 🌟 Scientists are working to add Element 120 to the periodic table by smashing atoms together. Stay tuned for groundbreaking updates! #STEMSaturday #Element120 #ScientificDiscovery #PeriodicTable

Modeling Talk (9am PT, Tues Oct 15, 2024) Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics Steven Brunton, University of Washington https://lnkd.in/gqw-rWbb Talk Details: https://lnkd.in/gnUk-hag Meet: https://lnkd.in/g4AAWkcK YouTube Stream: https://lnkd.in/gm8Z42c9 Join for talk announcements: https://lnkd.in/g5ciuNuX Abstract: This work will discuss several key challenges and opportunities in the use of machine learning for nonlinear system identification. In particular, I will describe how machine learning may be used to develop accurate and efficient nonlinear dynamical systems models for complex natural and engineered systems. I will emphasize the need for interpretable and generalizable data-driven models, such as the sparse identification of nonlinear dynamics (SINDy) algorithm, which identifies a minimal dynamical system model that balances model complexity with accuracy, avoiding overfitting. I will also introduce several key benchmark problems in dynamical systems and fluid dynamics that provide a diversity of metrics to assess modern system identification techniques. Because fluid dynamics is central to transportation, health, and defense systems, we will emphasize the importance of machine learning solutions that are interpretable, explainable, generalizable, and that respect known physics. Bio: Dr. Steven L. Brunton is a Professor of Mechanical Engineering at the University of Washington. He is also Adjunct Professor of Applied Mathematics, Aeronautics and astronautics, and Computer science, and he is also a Data Science Fellow at the eScience Institute. He is Director of the AI Center for Dynamics and Control (ACDC) at UW and is Associate Director for the NSF AI Institute in Dynamic Systems. Steve received the B.S. in mathematics from Caltech in 2006 and the Ph.D. in mechanical and aerospace engineering from Princeton in 2012. His research combines machine learning with dynamical systems to model and control systems in fluid dynamics, biolocomotion, optics, energy systems, and manufacturing. He received the Army and Air Force Young Investigator Program (YIP) awards and the Presidential Early Career Award for Scientists and Engineers (PECASE). Steve is also passionate about teaching math to engineers as co-author of four textbooks and through his popular YouTube channel, under the moniker “eigensteve”. #modeling #simulation #ai #ml #research #fluiddynamics #sciml #dataanalytics #dynamics #statistics #nonlinear

This is a wrap-up of the LIBER conference from the #PathOS perspective. PathOS project shined at #LIBER2024 this month with a workshop on "#OpenScience Monitoring and #Research Libraries." Led by experts from Universidade do Minho & OpenAIRE AMKE, the session highlighted the role of research libraries in advancing #OpenScience. Read the #recap and learn all the details! 👉 Read more: https://shorturl.at/oCGLM

Today marks the beginning of the Science and Technology Week 2024! 🎉 Join us daily to discover WHAT IF some big scientific discoveries never happened! #SEMANACT #CIENCIAVIVA #WHATIF #sciencematters #scienceandtechnology