April 2022 - Ai - Engineering Mailing Lists

AI seminar: April 20, 2022
by Mangannavar, Rajesh Devaraddi 19 Apr '22

19 Apr '22

Dear all, Our next AI seminar on *"**Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning**" *by professor Brian Wood is scheduled to be on April 20th (Tomorrow), 1-2 PM PST. It will be followed by a 30-minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning* Brian Wood Professor Chemical, Biological, and Environmental Engineering Oregon State University *Abstract:* In this work, we use a combination of formal upscaling and data-driven machine learning for explicitly closing a nonlinear transport and reaction process in a multiscale tissue. The classical effectiveness factor model is used to formulate the macroscale reaction kinetics. We parsimoniously train a multilayer perceptron network using training data generated by direct numerical simulations over thousands of microscale examples. Once trained, the network is applied in an algorithm for numerically solving the upscaled (coarse-grained) differential equation describing mass transport and reaction in two example tissues. The network is described as being explicit in the sense that the network is trained using macroscale concentrations and gradients of concentration as components of the feature space. Network training and solutions to the macroscale transport equations were computed for two different tissues. The two tissue types (brain and liver) exhibit markedly different geometry and spatial scale (cell size and sample size). The upscaled solutions for the average concentration are compared with numerical solutions derived from the microscale concentration fields by a posteriori averaging. There are two outcomes of this work of particular note: 1) we find that the trained network exhibits good generalizability, and it is able to predict the effectiveness factor with high fidelity for realistically-structured tissues despite the significantly different scale and geometry of the two example tissue types; and 2) the approach results in an upscaled PDE with an effectiveness factor that is predicted (implicitly) via the trained neural network. This latter result emphasizes our purposeful connection between conventional averaging methods with the use of machine learning for closure; this contrasts with some machine learning methods for upscaling where the exact form of the macroscale equation remains unknown. *Speaker Bio:* Brian Wood specializes in transport phenomena at multiple scales. His research usually integrates theory, numerical simulation, and experimental data. Systems that include a biological component has been a particular focus, and recent work has involved the multiscale modeling of tissues with closures informed by machine learning. Wood has a significant and evolving interest in parsimoniously using deep neural networks to help “close” nonlinear problems in formal upscaling (e.g., multi-material mechanics, turbulence in fluid mechanics, etc.). The connections between thermodynamics and statistical mechanics is a personal interest; he is actively involved in research to understand how entropy, information, and complexity connect in physical systems. *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] Updated Schedule: Oregon State Robotics Spring 2022 Seminar Series
by Ross L. Hatton 18 Apr '22

18 Apr '22

Hi All, Because a large number of Robotics students will be at the NW Robotics Symposium at the University of Washington on May 13, we are cancelling seminar that day. ICRA practice talks will now be on April 29th; Anna Nickelson has graciously agreed to move her "How to Give a Good Presentation" talk to a new day (to be decided). The full slate of seminars is attached below. Seminars will be from 10-11am, with an 11-11:30 students-only discussion. The seminars will be held in LINC 268 (note that this is different from the room we had in Fall and Winter terms) The Zoom link is https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU…. --- 4/1/2022 Cristina Wilson -UPenn GRASP Lab & RAD Lab -Collaborative human-robot teaming -https://www.radlab.us 4/8/2022 RGSA Round Table 4/15/2022 Chris Neider -Starship Technologies -Food delivery robots -https://www.starship.xyz/ 4/22/2022 Kim Ingraham -University of Washington Mechanical Engineering, Rehabilitation Medicine -Biomechanics and wearable robots -https://kim-ingraham.com 4/29/2022 ICRA practice talks 5/6/2022 Shai Revzen -University of Michigan Electrical Engineering -Dynamics, bioinspired, legged locomotion -https://robotics.umich.edu/profile/shai-revzen/ 5/13/2022 No Seminar: NW Robotics Symposium at University of Washington 5/20/2022 Chris Sanchez -OSU Psychology -Human use of computing technology -https://liberalarts.oregonstate.edu/users/christopher-sanchez 5/27/2022 No seminar: ICRA 6/3/2022 Edward Wang -UCSD ECE & Design Lab -Design and health monitoring -https://www.ejaywang.com (Kristen Macuga from OSU Psychology was originally scheduled to speak this term, but has rescheduled for the Fall) =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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AI Alignment Reading Group Meeting
by Pope, Quintin 15 Apr '22

15 Apr '22

Hello everyone, I haven't had time to find and analyze a good paper for the reading group. I will, however, still be holding the meeting at 2 PM PST. I've been working on a new perspective on the origin and nature of human values. If you want to read about it, I've made a LessWrong comment <https://www.lesswrong.com/posts/pSdxQfbvC5qBBdehq/?commentId=36PxXrBZvkgWye…> that briefly describes some of the intuition around this new perspective and why I'm excited about it. If that comment intrigued you, I'll be available to discuss more at 2. Please feel free to join! Join Zoom Meeting https://oregonstate.zoom.us/j/95843260079?pwd=TzZTN0xPaFZrazRGTElud0J1cnJLU… Password: 961594 Phone Dial-In Information +1 971 247 1195 US (Portland) +1 253 215 8782 US (Tacoma) +1 301 715 8592 US (Washington DC) Meeting ID: 958 4326 0079 All the best, Quintin

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[CoRIS-List] Reminder: Today, 10AM OSU Robotics Seminar, Starship Robotics
by Ross L. Hatton 15 Apr '22

15 Apr '22

Hi All, This week, the OSU Robotics Seminar will be hosting a talk by Dylan Barrett (replacing Chris Neider) of Starship Robotics (the company behind the food delivery robots on campus). Dylan has launched Starship's delivery services at several large campuses, and manages their operations across a range of campuses with different sizes and needs. He will be presenting on both Starship's operating model and on the technology that makes it possible, and will have a robot with him at the seminar. The seminar will be an *in person* event, simulcast over Zoom, and will be immediately followed by a half-hour students-only Q&A session with the speaker. April 15, 10am LINC 268 https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU… =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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[CoRIS-List] Reminder: OSU Robotics Seminar, Starship Robotics, April 15
by Ross L. Hatton 14 Apr '22

14 Apr '22

Hi All, This week, the OSU Robotics Seminar will be hosting a talk by Dylan Barrett (replacing Chris Neider) of Starship Robotics (the company behind the food delivery robots on campus). Dylan has launched Starship's delivery services at several large campuses, and manages their operations across a range of campuses with different sizes and needs. He will be presenting on both Starship's operating model and on the technology that makes it possible, and will have a robot with him at the seminar. The seminar will be an *in person* event, simulcast over Zoom, and will be immediately followed by a half-hour students-only Q&A session with the speaker. April 15, 10am LINC 268 https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU… =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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AI seminar: April 20, 2022
by Mangannavar, Rajesh Devaraddi 14 Apr '22

14 Apr '22

Dear all, Our next AI seminar on *"**Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning**" *by professor Brian Wood is scheduled to be on April 20th, 1-2 PM PST. It will be followed by a 30-minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning* Brian Wood Professor Chemical, Biological, and Environmental Engineering Oregon State University *Abstract:* In this work, we use a combination of formal upscaling and data-driven machine learning for explicitly closing a nonlinear transport and reaction process in a multiscale tissue. The classical effectiveness factor model is used to formulate the macroscale reaction kinetics. We parsimoniously train a multilayer perceptron network using training data generated by direct numerical simulations over thousands of microscale examples. Once trained, the network is applied in an algorithm for numerically solving the upscaled (coarse-grained) differential equation describing mass transport and reaction in two example tissues. The network is described as being explicit in the sense that the network is trained using macroscale concentrations and gradients of concentration as components of the feature space. Network training and solutions to the macroscale transport equations were computed for two different tissues. The two tissue types (brain and liver) exhibit markedly different geometry and spatial scale (cell size and sample size). The upscaled solutions for the average concentration are compared with numerical solutions derived from the microscale concentration fields by a posteriori averaging. There are two outcomes of this work of particular note: 1) we find that that the trained network exhibits good generalizability, and it is able to predict the effectiveness factor with high fidelity for realistically-structured tissues despite the significantly different scale and geometry of the two example tissue types; and 2) the approach results in an upscaled PDE with an effectiveness factor that is predicted (implicitly) via the trained neural network. This latter result emphasizes our purposeful connection between conventional averaging methods with the use of machine learning for closure; this contrasts with some machine learning methods for upscaling where the exact form of the macroscale equation remains unknown. *Speaker Bio:* Brian Wood specializes in transport phenomena at multiple scales. His research usually integrates theory, numerical simulation, and experimental data. Systems that include a biological component has been a particular focus, and recent work has involved the multiscale modeling of tissues with closures informed by machine learning. Wood has a significant and evolving interest in parsimoniously using deep neural networks to help “close” nonlinear problems in formal upscaling (e.g., multi-matieral mechanics, turbulence in fluid mechanics, etc.). The connections between thermodynamics and statistical mechanics is a personal interest; he is actively involved in research to understand how entropy, information, and complexity connect in physical systems. *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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AI seminar: April 13, 2022
by Mangannavar, Rajesh Devaraddi 12 Apr '22

12 Apr '22

Dear all, Our next AI seminar on *"**Human-AI Collaboration for Interactive Image Editing and Machine Autonomy**" *by professor Bolei Zhou is scheduled to be on April 13th (Tomorrow), 1-2 PM PST. It will be followed by a 30 minute Q&A session by the graduate students. Zoom Link: https://oregonstate.zoom.us/j/93591935144?pwd=YjZaSjBYS0NmNUtjQzBEdzhPeDZ5U… *Human-AI Collaboration for Interactive Image Editing and Machine Autonomy* Bolei Zhou Assistant Professor Computer Science University of California, Los Angeles *Abstract:* Deep learning models such as ConvNet and transformers have made huge progress in real-world applications from image generation to self-driving vehicles. Researchers and developers mainly focus on building larger and deeper models to improve the accuracy and numbers on public benchmarks. However, it is difficult to establish a reliable and trustworthy relationship between humans and AI if there are no meaningful interactions. In this talk, I will present our effort to facilitate the Human-AI collaboration for certain tasks. I will first introduce our work on improving the controllability of deep generative models such as GANs for interactive image editing. I will then talk about Human-AI Copilot (HACO), a new human-in-the-loop reinforcement learning method to efficiently teach agents to drive in uncertain environments while preserving their own curiosity and exploration. *Speaker Bio:* Bolei Zhou is an Assistant Professor in the Computer Science Department at the University of California, Los Angeles (UCLA). He earned his Ph.D. from MIT in 2018. His research interest lies at the intersection of computer vision and machine autonomy, focusing on enabling interpretable and trustworthy human-AI interaction. He has developed a number of widely used interpretation methods such as CAM and Network Dissection, as well as computer vision benchmarks Places and ADE20K. He is an associate editor for Pattern Recognition and has been area chair for CVPR, ICCV, and AAAI. He received MIT Tech Review's Innovators under 35 in Asia-Pacific Award. More about his research is at https://boleizhou.github.io/. This talk will be followed by a talk on the topic "*Upscaling Nonlinear Reactions in Tissues: Closure via Machine Learning*" by professor Brian Wood on 20th April (Wednesday) 1-2 PM, 2022 *Please watch this space for future AI Seminars :* * https://eecs.oregonstate.edu/ai-events <https://eecs.oregonstate.edu/ai-events>* Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged.

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[CoRIS-List] OSU Robotics Seminar, Starship Robotics, April 15
by Ross L. Hatton 12 Apr '22

12 Apr '22

Hi All, This week, the OSU Robotics Seminar will be hosting a talk by Chris Neider of Starship Robotics (the company behind the food delivery robots on campus). The seminar will be an *in person* event, simulcast over Zoom, and will be immediately followed by a half-hour students-only Q&A session with the speaker. April 15, 10am LINC 268 https://oregonstate.zoom.us/j/93908195212?pwd=cEdoQVdac0JxMUpOSS9xVzZjVG5xU… =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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No AI reading group meeting
by Quintin Pope 08 Apr '22

08 Apr '22

Hi everyone, There won’t be a reading group meeting today. I’ve been busy recently, but hope to resume next week. All the best, Quintin Sent from my iPhone

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[CoRIS-List] No OSU Robotics seminar this week; RGSA roundtable instead
by Ross L. Hatton 07 Apr '22

07 Apr '22

Hi All, There is no OSU Robotics seminar this week; instead the RGSA is hosting a roundtable event with the faculty about the robotics program. This meeting will be in LINC 268 at 10am Friday 4/8, and its agenda has been sent to the RGSA mailing list. -Prof. Hatton =========== Ross L. Hatton Associate Professor, Robotics and Mechanical Engineering Collaborative Robotics and Intelligent Systems Institute Oregon State University coris.oregonstate.edu research.engr.oregonstate.edu/lram/ rosslhatton.com ross.hatton(a)oregonstate.edu

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