Kenny Gruchalla, Ph.D.

Revealing the Depths: Comparing SORS and Micro-SORS for Subsurface Material Analysis A recent study explores the strengths and limitations of spatially offset Raman spectroscopy (SORS) and micro-SORS, offering new insights into their applications for non-invasive subsurface material analysis. The findings provide valuable guidelines for choosing between these techniques based on sample characteristics and analytical needs. https://lnkd.in/gkxhmuBW

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SPECIAL ISSUE: ASSESSING SEDIMENT HETEROGENEITY Feature-based maximum entropy for geophysical properties of the seabed: https://lnkd.in/gu65wn7E #acoustics Scripps Institution of Oceanography Woods Hole Oceanographic Institution BYU Physics and Astronomy

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The AWP is thrilled to share that a new paper has been published by Negar Sadrzadeh, Borbala Foris, Joseph Krahn, Marina A.G. von Keyserlingk and Daniel M. Weary! This paper details the development of an innovative system designed to automatically monitor individual-level brush use in group-housed dairy cattle. This approach employs vision-based identification combined with sensor data, utilizing machine learning techniques to measure cattle interactions with brushes. Read the paper here: https://lnkd.in/gQuFHQeT

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Developed by researchers at Carnegie Mellon University's Interactive Structures Lab, ConeAct is a cone-shaped actuator that can extend, contract, and bend in multiple directions to support rich expression in dynamic materials. Featuring an onboard ATtiny1616!

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Scientists at #LLNL are opening exciting new avenues for materials design with the discovery of how iron atoms, when introduced into titanium, segregate to form quasicrystalline-like structures at the interface. Explore the future of materials engineering: https://lnkd.in/gGUrE5xU

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In the YouTube that we just released (Sunday, Oct. 20, 2024), one of the points we made was a "contrast-and-compare" between LeCun's H-JEPA (Hierarchical Joint Embedding Predictive Architecture) and Friston et al.'s RGM (Renormalising Generative Models). Here's the YouTube link: #ai #agi #artificialintelligence #artificialgeneralintelligence #aieducation #RGM #activeinference #JEPA #HJEPA #generativeAI

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I'm part of an IEEE-nexus developing an international conference on making fusion practical. This is one key type of challenge that our Practical Fusion Power [PFP] conference is designed to address

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V is for visualization ORNL transforms complex data into stunning, insightful visualizations that help scientists understand everything from climate models to the cosmos. ✨ https://bit.ly/3ZECCxE

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NASA - National Aeronautics and Space Administration’s JPL and Caltech researchers have introduced a software tool for modeling and analyzing complex systems through assume-guarantee contracts, offering a formal, compositional approach to early-stage design. 👏🏻 The tool uses algebraic operations on contracts to quickly explore and verify system behaviors without the need for detailed simulations. 🔬 Engineers could easily test different design options by using simple math to describe the behavior of components, which could help identify the best setups without needing detailed simulations, making the design process faster and more flexible. https://lnkd.in/eG-Rbgvs #Nasa #InsideSpace #Engineers #SpaceIndustry

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I enjoyed reading this important article from Xin An (UCLA) and colleagues. #PlasmaPhysics

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Notebooklm Audio review of 2024 Nobel Prize in Physics https://lnkd.in/gw8kFi_Q Summary Notebook guide Audio Overview 2024 physics Nobel Prize in neural net Summary John J. Hopfield and Geoffrey E. Hinton, the 2024 Nobel Prize in Physics recipients, were recognized for their pioneering contributions to the development of artificial intelligence and deep learning, which aim to simulate how the human brain processes information and learns. Hopfield's work focused on developing the Hopfield Network, a type of artificial neural network that simulates associative memory in humans, while Hinton made significant contributions to the field of deep learning by developing the backpropagation algorithm, a technique that revolutionized the ability to train artificial neural networks. These advancements, which were inspired by cognitive neuroscience, have paved the way for a variety of practical applications in the field of artificial intelligence, including language models, image generation, speech synthesis and recognition, and autonomous systems.

🚀 NASA and ESA’s Mars Sample Return mission was officially announced on April 15th, 2024! This mission aims to bring back Martian soil samples collected by the Perseverance rover, marking a groundbreaking moment in planetary exploration. 🌍✨ Curious to learn more about this historic mission? Join Dr. Lindsay Hays, NASA’s Senior Scientist for Mars Exploration, for an exclusive webinar on October 10th, 2024, where she’ll discuss the mission’s scientific potential, its technological challenges, and what it means for the future of space exploration. This event is the final part of our World Space Week webinar series (4/4), and you won’t want to miss the opportunity to hear from one of NASA’s leading experts in astrobiology and planetary science! Why attend? This webinar offers unique insights into the possibility of discovering life beyond Earth, the importance of the Mars Sample Return mission, and how it could revolutionize our understanding of Mars and the solar system. 🌠 🗓 Date: Thursday, 10th October 2024 🕖 Time: 7 PM IST | 8:30 AM CT🔗 Register here: https://lnkd.in/dSY9WAMJ #MarsSampleReturn #NASA #WorldSpaceWeek #Astrobiology #SpaceExploration #Mars2024 #STEM #PlanetaryScience #SpaceMission #Innovation #ScienceLeadership #NSSMumbai

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Check out this #WingtraLidar data from Ted Strazimiri. Let the data do the talking. Wingtra Inertial Labs, Inc. SkyDeploy RESEPI #VTOL #LidarMapping NUBIGON Inc.

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What would you bring with you to a desert planet? Here's what our speaker, Botanist Judith Sumner, has to say. Join the discussion on May 24 at 1PM ET at "Space Travel with Earth Wisdom," our research symposium featuring researchers who are working at the intersection of space science, ecology, sustainability and machine learning. View the agenda and register here: http://spr.ly/6043jPMut This Focused Research Program event is organized by Boston University's Hariri Institute for Computing supported by Boston University's Department of Astronomy, Department of Computer Science, Department of Earth & Environment, and Department of Electrical and Computer Engineering. #space #science #ecology #sustainability #ML #machine_learning

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Math and meteorology go hand in hand, which can be challenging. Sound familiar? Then check out our new interactive tool, “Math for Weather and Climate: Interactive Tool for Divergence and Vorticity”! This interactive tool is a great resource for meteorology students and instructors. It helps you explore the math involved in two key concepts in weather and climate: divergence (the expansion and spreading out of a wind field) and vorticity (the “spin” of a wind field).  Check it out here: https://lnkd.in/gVJYMiWw

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📢 Just published! Check out this "Roadmap on methods and software for electronic structure based simulations in chemistry and materials" including contributions from the FHI-aims developers: https://lnkd.in/edV_tP4Z

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