AI Institutes Virtual Organization

AI-SDM Seminar Series: The Role of Uncertainty in Decision-Making During High Consequential Events
2025-03-21 14:00 - 15:30 (America/Halifax) | Zoom webinar
Join the next AI Institute for Societal Decision Making (AI-SDM) seminar on Friday, March 21, 2025, featuring Terri Adams, PhD! Register now.

The Role of Uncertainty in Decision-Making During High Consequential Events

Abstract: With the increased risk of natural disasters, efforts are underway to improve all aspects of emergency response. Regardless of the type of disaster, whether health or weather-related, there are high degrees of uncertainty associated with the unfolding of each event. As emergency managers, first responders, and the public seek to maximize their response to disasters, it is essential to understand the impacts of uncertainty on decision-making. This seminar will explore the impact of uncertainty on decision-makers during high consequence events.

Speaker: Terri Adams, Professor of Sociology and Criminology and Associate Dean of the Office of External Affairs, Howard University
Terri Adams, Ph.D., is a Professor in the Department of Sociology and Criminology at Howard University. She currently serves as the Associate Dean of the Office of External Affairs, responsible for the research portfolio at the Graduate School. Dr. Adams also serves as the Deputy Director of the NOAA Cooperative Science Center in Atmospheric Sciences and Meteorology (NCAS-M) at Howard University and Director of the Howard University Initiative on Public Opinion. Her research takes an interdisciplinary approach to examine issues with theoretical and practical implications.
Dr. Adams’ specific research interests include emergency management, behavioral responses to severe weather and climate, and the impact of trauma and disasters on individuals and organizations. Her work centers on individuals’ and organizations’ decision-making processes in the face of crisis events. She is the author of Policing in Natural Disasters: Stress, Resilience, and the Challenges of Emergency Management, which takes a critical review of the challenges faced by first responders before, during, and after natural disasters.

Date & Time: Friday, March 21, 2025 | 2:00 – 3:30 pm, Eastern Time
Locations:

Gates and Hillman Centers, Room 8102 (eighth floor), Carnegie Mellon University
Zoom (After registering, you’ll receive a confirmation email with information about how to join the meeting.)

Register now!
Dr. Adams will also be available to meet throughout the day with anyone who is interested. Sign up for a time slot. (If you choose the lunch time slot, you’ll get catered lunch!)
More about the AI-SDM Seminar Series

Visit the Featured AI-SDM Events webpage to learn more about this seminar, see the upcoming seminar schedule, and register for upcoming seminars.

Upcoming AI-SDM Seminars:

Friday, April 25, 2025 | 11:30 am – 1:00 pm Eastern Time | Tom Griffiths
Friday, May 9, 2025 | 3:00 – 4:30 pm Eastern Time | Giacomo De Nicola

TILOS Seminar: Single location regression and attention-based models
2025-03-27 14:00 - 15:00 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States
Title: Single location regression and attention-based models
Speaker: Claire Boyer, Université Paris-Saclay
Abstract: Attention-based models, such as Transformer, excel across various tasks but lack a comprehensive theoretical understanding, especially regarding token-wise sparsity and internal linear representations. To address this gap, we introduce the single-location regression task, where only one token in a sequence determines the output, and its position is a latent random variable, retrievable via a linear projection of the input. To solve this task, we propose a dedicated predictor, which turns out to be a simplified version of a non-linear self-attention layer. We study its theoretical properties, by showing its asymptotic Bayes optimality and analyzing its training dynamics. In particular, despite the non-convex nature of the problem, the predictor effectively learns the underlying structure. This work highlights the capacity of attention mechanisms to handle sparse token information and internal linear structures.
Zoom: https://bit.ly/TILOS-Seminars

National Advanced Computing Resources Office Hours
2025-03-28 12:00 - 13:30 (America/Halifax) | Zoom webinar
Get details about your no-cost access to national advanced computing resources during virtual office hours for the AI Institutes!
Register now.

Drop in to the office hours to discover how you can leverage cyberinfrastructure (CI) resources (CPU, GPU, Cloud computing cycles) made available to U.S.-based researchers at no cost. These sessions will feature offerings from the NSF-funded Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, the National Artificial Intelligence Research Resource (NAIRR) Pilot, and the NSF-funded Cloudbank resource. Learn about the opportunities available to you and get your questions answered by experts on the various initiatives.

AI Unlocked: Empowering Higher Education through Research and Discovery Workshop
2025-04-02 - 2025-04-03 | The Westin Denver Downtown, 1672 Lawrence St, Denver, 80202, United States
Advance your AI skills and collaboration in higher education!
The “AI Unlocked: Empowering Higher Education through Research and Discovery” workshop provides access to cutting-edge computational resources and expertise.
Hosted by the National Artificial Intelligence Research Resource (NAIRR) Pilot User Experience Working Group, the workshop offers an introduction to AI fundamentals, hands-on experience with pre-configured AI tasks, and guidance for tailoring AI models to your projects.
April 2-3, 2025
The Westin Denver Downtown
Denver, CO
Registration is open to researchers, students, faculty, and practitioners, especially those from Minority-Serving Institutions (MSIs). The workshop is designed for individuals across all disciplines and career stages in higher education.
Travel support is provided, and virtual options are available.
Apply now and learn more via the AI Unlocked page. Applications close January 31, 2025.

TILOS Seminar: Foundational Methods for Foundation Models for Scientific Machine Learning
2025-04-02 11:00 - 12:00 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

AI-ALOE Webinar: Designing an Ecosystem of Resources to Foster AI Literacy
2025-04-09 12:00 - 13:00 (America/Halifax) | Zoom webinar
Gain insights into fostering AI literacy and empowering individuals to make informed decisions about AI in their lives and communities!
This webinar on April 9, 2025 12:00 to 1:00 p.m. EDT is open to educators, researchers, policymakers, and anyone interested in the evolving relationship between AI and education. Register now!
Designing an Ecosystem of Resources to Foster AI Literacy
As AI becomes increasingly integrated into daily life, individuals must navigate critical decisions about its role in both personal and societal contexts. Duri Long, an assistant professor in the Department of Communication Studies at Northwestern University, will explore strategies for fostering AI literacy and public agency in this insightful webinar.
Long’s research focuses on developing a comprehensive ecosystem of learning experiences to enhance AI understanding across diverse audiences, from middle school students to journalists. Using a design research approach, she examines how creativity, embodied interaction, and constructionist learning experiences contribute to grasping key AI concepts.
During the webinar, Long will present ongoing research initiatives, including:

The design of museum exhibits, unplugged activities, and interactive tools to support AI literacy among middle school students.
Web-based platforms that engage adult learners in interactive AI education.
Resources tailored to assist journalists in effectively communicating AI-related topics to the public.

By integrating these varied approaches, Long aims to cultivate a more informed public capable of making critical decisions about AI implementation in both private and public spheres.
Speaker:
Duri Long, Assistant Professor, Department of Communication Studies, Northwestern University
Duri Long is an assistant professor in the Department of Communication Studies at Northwestern University, with a courtesy appointment in computer science. She leads the Creative Interfaces Research + Design Studio and specializes in human-centered AI research, with a focus on AI literacy and human-AI interaction. Her work investigates how people learn and engage with AI to inform the design of educational interventions and interactive AI systems.
Long employs methodologies from the learning sciences, design research, and cognitive science to develop co-creative, embodied AI experiences. She has collaborated with artists and museums across the country to create interactive exhibits and art installations integrating AI and technology. She holds a PhD in Human-Centered Computing from Georgia Tech and degrees in computer science and dramatic art from the University of North Carolina at Chapel Hill.

ICICLE AI Institute & OSU CSE Distinguished Seminar Series
2025-04-10 11:15 - 12:15 (America/New_York)
Title: Harnessing Responsible AI for Science Discovery, Innovation, and Impact
Speaker: Manish Parashar, University of Utah
When: April 10, 2025 11:15 AM – 12:15 PM EST
Location: DL 260 Dreese Laboratory, 2015 Neil Ave, Columbus, OH 43210
Zoom link: https://osu.zoom.us/j/93195486710?pwd=[REDACTED]

AI for Social Impact: Building Meaningful Careers and Futures Forum
2025-04-11 10:30 - 12:30 (America/Halifax) | Carnegie Mellon University, 4804 Forbes Ave., Pittsburgh, PA, 15213, United States
Calling all students and junior researchers who are passionate about technology and making a real difference!
Join AI-SDM and the Patrick J. McGovern Foundation for an inspiring forum to bridge the gap between cutting-edge tech and meaningful social impact. Whether you’re planning to pursue employment at a for-profit organization, in academia, or in the non-profit sector, discover how you can leverage your skills to build a better future. Learn more about the forum.
April 11, 2025
10:30 a.m.–12:30 p.m. EDT
Locations

Carnegie Mellon University (CMU) NSH 4305 – Register to attend in person.
Zoom – Register to attend by Zoom.

Agenda

Panel of AI Experts and Q&A
Lightning talks by industry leaders and CMU students
Presentations on “Tech for Good in Action” by experts in the field

Featuring

Hazem Mahmoud, Director, Products and Services, Patrick J. McGovern Foundation
Rayid Ghani, Distinguished Career Professor, Machine Learning, CMU
Aarti Singh, Professor, Machine Learning, CMU, and Director, AI-SDM
NexLeaf Analytics – Nonprofit tech company focused on IoT solutions for low- and middle-income country health systems
Amrita University, Coimbatore, India

Learn more about the forum on the CMU website!

MMLI Annual Symposium: "AI Scientist? What Would It Take?"
2025-04-15 - 2025-04-16 | National Center for Supercomputing Applications (NCSA), 1205 W Clark Street, Urbana, IL, 61801, United States
The Molecule Maker Lab Institute (MMLI) invites you to their upcoming research symposium, “AI Scientist? What Would It Take?”
This hybrid event will bring together researchers, industry leaders, and students to explore the intersection of AI and chemistry, discussing what it takes to advance AI-driven scientific discovery.

Date: April 15-16, 2025
Location:

National Center for Supercomputing Applications (NCSA) Auditorium (encouraged for local participants)
University of Illinois
1205 W Clark Street, Urbana, IL 61801
Zoom (for virtual participants)

What to Expect:

Engaging talks by leading researchers in AI and chemistry
Presentations by early-career scientists on cutting-edge innovations
Discussions on the future of AI-driven science and its impact on research

Whether you’re a scientist, student, or industry professional, this symposium is a great opportunity to connect, learn, and engage with the MMLI community.
Register now!

TILOS Seminar: Amplifying human performance in combinatorial competitive programming
2025-04-16 11:00 - 12:00 (America/Los_Angeles) | Zoom webinar

HOT-AI: TILOS Horizons for Optimization in AI Workshop
2025-04-17 - 2025-04-18 | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States
The TILOS Horizons for Optimization in AI (“HOT-AI”) Workshop will bring together leading researchers and practitioners to explore the evolving landscape of optimization for AI—and how AI itself is reshaping optimization. Over two days of engaging talks and interactive discussions participants will dive into cutting-edge research, share insights, and exchange ideas on the most pressing challenges and opportunities at the intersection of these fields.
Invited speakers include:

John Doyle (Caltech)
Maryam Fazel (University of Washington)
Quanquan Gu (UCLA)
Babak Hassibi (Caltech)
Aryan Mokhtari (UT Austin)
Benjamin Recht (UC Berkeley)
Mahdi Soltanolkotabi (USC)
Madeleine Udell (Stanford)

Remote participation is available; registration required.

AIVO Communications Office Hours
2025-04-18 10:00 - 11:00 (America/Los_Angeles) | Zoom webinar
Why Attend?

Find out how to get a feature article placed in AIVO News or on the AIVO website
Get advice on your messaging for feature articles and press releases
Request a review of your draft communications
Get help drafting a communications plan
Request writing or editing support for your Institute’s communications
Ask a communications-related question

Monthly Schedule – Winter & Spring 2025

Friday, April 18, 2025, 10:00–11:00 a.m. Pacific / 1:00–2:00 p.m. Eastern
Friday, May 16, 2025, 10:00–11:00 a.m. Pacific / 1:00–2:00 p.m. Eastern

Calendar invitations will be sent upon request to aivo@ucdavis.edu.
Join Info

Join Zoom Meeting: https://ucdavis.zoom.us/j/5102616773?pwd=[REDACTED]
Meeting ID: 510 261 6773
Passcode: [REDACTED]
One tap mobile:

+16699006833,,5102616773#,,,,*[REDACTED]# US (San Jose)
+16694449171,,5102616773#,,,,*[REDACTED]# US

CosmicAI Webinar: "Responsible AI – on whose terms?"
2025-04-25 10:00 - 11:00 (America/New_York) | Zoom webinar
Join CosmicAI on Friday, April 25, 2025, at 10:00 a.m. Central Time for a discussion on responsible AI, featuring Aubra Anthony, Senior Fellow, Carnegie Endowment for International Peace!
Title: Responsible AI – on whose terms?
Abstract: Most of us accept that AI will bring benefit to humanity only if it’s developed and deployed in a responsible, ethically aligned way. But AI’s reach spans the globe, and what makes AI ‘responsible’ differs depending on where in the world that question is being posed. What’s more, those who are making many of the most far-reaching decisions about AI’s global trajectory are, for now, not globally representative. Instead, consequential design and policy decisions are often concentrated in just a few elite tech circles, representing a minority of world viewpoints.
This talk will explore what goes missing if we’re resigned to this minority/majority split in defining globally responsible AI. Aubra Anthony will share research that encourages a more pluralistic approach to considering responsible AI, highlighting nuances that AI developers and policymakers throughout the Global Majority have long been grappling with.
About the speaker: Aubra Anthony is a senior fellow in the Technology and International Affairs Program at the Carnegie Endowment for International Peace, where she researches the human impacts of digital technology, specifically in emerging markets. Aubra works to better understand how the global development and adoption of technology like AI can be made more inclusive and trustworthy. Prior to joining Carnegie, Aubra worked at the U.S. Agency for International Development (USAID). As strategy and research lead in the Innovation, Technology, and Research Hub at USAID, Aubra led research and published findings on responsible use of AI and machine learning (ML) in international development and humanitarian assistance, subsequently leading the translation of this research into USAID’s?first-ever AI Action Plan, launched by Administrator Samantha Power in May 2022. Aubra received her PhD in Physics from the University of Texas at Austin, then carried out postdoctoral research in observational cosmology with the University of Colorado before shifting her focus to tech policy and international affairs.
Join info:
Zoom
Zoom passcode: FAI

AI-SDM Seminar Series: Using Machine Learning and Psychology to Predict and Understand Human Decisions
2025-04-25 11:30 - 13:00 (America/Halifax) | Zoom webinar
Join the next AI Institute for Societal Decision Making (AI-SDM) seminar on Friday, April 25, 2025. Register now!

Using Machine Learning and Psychology to Predict and Understand Human Decisions

Abstract: Machine learning (ML) methods provide increasingly powerful tools for generating predictions about human behavior. However, simply using off the shelf methods to generate predictions potentially misses opportunities to benefit from and contribute to the psychological literature. This will cover three ways in which theory and data can interact through ML: using theories to pre-train machine learning models; using theories to constrain ML models; and using unconstrained ML models to critique explanatory theories. These cases will be illustrated with examples from the study of human decision-making, discussing risky choice, moral judgments, behavioral game theory, and open-ended decision-making, and highlights from some recent work using large language models (LLMs) to predict human decisions.

Speaker: Tom Griffiths,Professor of Psychology and Computer Science, Princeton University
Tom Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness and Culture in the Departments of Psychology and Computer Science at Princeton University. His research explores connections between human and machine learning, using ideas from statistics and artificial intelligence to understand how people solve the challenging computational problems they encounter in everyday life. He has made contributions to the development of Bayesian models of cognition, probabilistic machine learning, nonparametric Bayesian statistics, and models of cultural evolution, and his recent work has demonstrated how methods from cognitive science can shed light on modern artificial intelligence systems. Tom completed his PhD in Psychology at Stanford University in 2005, and taught at Brown University and the University of California, Berkeley before moving to Princeton. He has received awards for his research from organizations ranging from the American Psychological Association to the National Academy of Sciences and is a co-author of the book Algorithms to Live By, introducing ideas from computer science and cognitive science to a general audience.

Date & Time: Friday, April 25, 2025 | 11:30 a.m. – 1:00 p.m., Eastern Time
Locations:

GHC 6115, CMU
Zoom (After registering, you’ll receive a confirmation email with information about how to join the meeting.)

Dr. Griffiths will also be available to meet throughout the day with anyone who is interested. Click here to sign up for a time slot!
More about the AI-SDM Seminar Series

Visit the Featured AI-SDM Events webpage to learn more about this seminar, see the upcoming seminar schedule, and register for upcoming seminars.

Upcoming AI-SDM Seminar:

Friday, May 9, 2025 | 3:00 – 4:30 pm Eastern Time | Giacomo De Nicola

DynamicsAI Data-Driven Science and Engineering Seminars: Multifidelity, domain decomposition, and stacking for improving training for physics-informed networks
2025-04-25 12:00 - 13:00 (America/Los_Angeles) | Zoom webinar
Join DynamicsAI’s seminar on Friday, April 25, 2025 at 12:00 – 1:00 p.m. Pacific for “Multifidelity, domain decomposition, and stacking for improving training for physics-informed networks.”
This hybrid event features Dr. Amanda Howard of Pacific Northwest National Laboratory (PNNL)!
Register now and get virtual access info.
Physics-informed neural networks and operator networks have shown promise for effectively solving equations modeling physical systems. However, these networks can be difficult or impossible to train accurately for some systems of equations. One way to improve training is through the use of a small amount of data, however, such data is expensive to produce. We will introduce our novel multifidelity framework for stacking physics-informed neural networks and operator networks that facilitates training by progressively reducing the errors in our predictions for when no data is available. In stacking networks, we successively build a chain of networks, where the output at one step can act as a low-fidelity input for training the next step, gradually increasing the expressivity of the learned model. We will finally discuss the extension to domain decomposition using the finite basis method, including applications to newly-developed Kolmogorov-Arnold Networks. Applications will be discussed for accelerating simulations of computational fluid dynamics.
About the Speaker: Amanda Howard is a mathematician at Pacific Northwest National Laboratory specializing in computational fluid dynamics and scientific machine learning (ML). She received her PhD in applied mathematics from Brown University in 2018 and her BS in mathematics from Stanford University in 2012. Her PhD research focused on computational methods for fluid-solid multiphase flows. Her current research includes scientific ML methods for cases with limited data, including multifidelity and physics-informed ML.

AIFS Speaker Series: The Imperative for Open Source Frontier Al - Oumi's Platform & Strategy
2025-05-02 15:30 - 16:30 (America/Los_Angeles) | Zoom webinar
Join us on Zoom to hear how Oumi is fostering open source frontier AI and broad collaboration across academia, industry, and the world. Register now!
WHAT: Free 45-minute event with talk by CEO Emmanouil Koukoumidis plus Q&A
WHEN: Friday, May 2, 2025, 3:30 (PDT)
REMOTE: via Zoom
WHO SHOULD ATTEND: This event is open to all, whether you are a part of the university community or the public.
FEATURED SPEAKER: Emmanouil (Manos) Koukoumidis, CEO of Oumi PBC
The Imperative for Open Source Frontier AI – Oumi’s Platform & Strategy
Open source is the best path to developing the most advanced, trusted, and versatile AI; the AI that would unlock industry applications and truly empower the sciences.
Unfortunately, frontier AI has become increasingly closed giving rise to significant concerns and risks.
Oumi CEO, Dr. Manos Koukoumidis, will discuss the efforts that Oumi, alongside 20+ academics, recently started to put us on a better path by betting on and fostering open source frontier AI. Learn how Oumi empowers sciences, the industries and even AgTech hackathons!
Learn more and register: https://aifs.ucdavis.edu/education-and-outreach/speaker-series

ARNI Workshop: Emerging Trends in AI
2025-05-05 08:30 - 2025-05-06 17:30 (America/New_York) | Columbia University, Pulitzer Hall, 2950 Broadway, New York, NY, 10027, United States
The NSF AI Institute for Artificial and Natural Intelligence (ARNI) is excited to cohost the Workshop on Emerging Trends in AI!
Register through Eventbrite: https://lnkd.in/eDpb7Gkz
Join this two-day workshop in New York May 5-6, 2025 that brings leading experts in machine learning (ML) and neuroscience together to dive into two key emerging themes:

Relationship between brain resilience and algorithmic robustness
Role of ML-driven data generation in social sciences and the possible acceleration of scientific discovery

Hosted by Columbia Engineering, Simons Institute for the Theory of Computing, and the NSF AI Institute for Artificial and Natural Intelligence (ARNI), the workshop will hold two panels:

How insights from ML and neuroscience can potentially inform each other toward the development of more resilient and robust systems
Ethical and practical implications of synthetic data in shaping research outcomes and policy decisions

Register now!

CosmicAI Inaugural Conference – Cosmic Horizons: AI-Powered Insights into the Universe
2025-05-06 - 2025-05-08 | University of Texas at Austin, Austin, TX, United States
The NSF-Simons AI Institute for Cosmic Origins (CosmicAI) is excited to announce their inaugural conference, Cosmic Horizons: AI-Powered Insights into the Universe.
The Cosmic Horizons conference will be held at the University of Texas at Austin from May 6 to 8, 2025.
Registration and abstract submission for the conference is officially open. Abstract submissions for contributed talks will be accepted through January 26.
Register now!
The recent revolution in AI is fundamentally changing how astronomers observe, explore, analyze and model astronomical data. The Cosmic Horizons conference aims to bring together researchers who are actively engaged in developing and applying AI/ML methods in the astronomy domain.
The conference will focus on:

Recent advances at the intersection of AI and Astronomy and AI-powered progress towards understanding our cosmic origins, from cosmology to habitability.
Methodologies to increase trustworthiness, robustness, interpretability and efficiency of AI applications in astronomy.
Preparation for the big-data challenges posed by next-generation observing facilities and approaches for searching, modeling, and analyzing high-dimensional data.

Confirmed invited speakers include:

Dalya Baron (Stanford)
Alessandra Corsi (Johns Hopkins)
Marc Huertas-Company (University of Paris)
Peter Melchior (Princeton)
Lina Necib (MIT)
Qingyun Wang (University of Illinois U-C)

The Cosmic Horizons conference is scheduled in conjunction with the inaugural AI-for-Astronomy Bootcamp (May 5-9), which provides an opportunity to advertise and demo astronomy-relevant AI/ML software. We invite conference participants who are developing community tools to RSVP to the AI-Astro software showcase on May 9.
The conference and boot camp are sponsored by CosmicAI, with support from the NSF and Simons Foundation and the Oden Institute for Computational Engineering and Sciences.

AIVO Communications Office Hours
2025-05-16 10:00 - 11:00 (America/Los_Angeles) | Zoom webinar
Why Attend?

Find out how to get a feature article placed in AIVO News or on the AIVO website
Get advice on your messaging for feature articles and press releases
Request a review of your draft communications
Get help drafting a communications plan
Request writing or editing support for your Institute’s communications
Ask a communications-related question

Calendar invitations will be sent upon request to aivo@ucdavis.edu.
Join Info

Join Zoom Meeting: https://ucdavis.zoom.us/j/5102616773?pwd=[REDACTED]
Meeting ID: 510 261 6773
Passcode: [REDACTED]
One tap mobile:

+16699006833,,5102616773#,,,,*[REDACTED]# US (San Jose)
+16694449171,,5102616773#,,,,*[REDACTED]# US

TILOS Seminar: Optimal Quantization for LLMs and Matrix Multiplication
2025-05-23 11:00 - 12:00 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

TILOS Industry Day 2025
2025-06-02 08:00 - 19:30 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States
The 4th annual TILOS Industry Day will be June 2, 2025, at the Halicioglu Data Science Institute at UC San Diego, the campus hub for data science. This year TILOS Industry Day will feature:

Talks from invited industry speakers sharing their perspectives on challenges in AI + Optimization + Use Domains (chips, robotics, networking)
Research highlights from TILOS team members
Panel discussions on AI Challenges for Academia—An Industry Perspective and Building Deep Tech Companies
Poster session featuring the work of TILOS students and postdoctoral scholars

ICICLE Webinar Series - AI-enabled Digital Agriculture: An Overview of ICICLE Software Components
2025-06-03 11:00 - 12:00 (America/New_York) | Zoom webinar
Researchers, Practitioners, Developers interested in exploring the benefits of High Performance Computing (HPC) and AI in Agriculture, here is an opportunity to learn from experts in the field and explore how HPC and AI can be applied within agriculture!
June 3, 2025
11:00 a.m. – noon Eastern

Zoom link
Learn more: ICICLE_DA_Webinar

Dynamics AI Workshop: AI-Driven Energy Efficiency in Dynamic Systems
2025-06-17
AI-Driven Energy Efficiency in Dynamic Systems (AI-DEEDS)
A 2025 ACM e-Energy Conference Workshop
The 16th ACM International Conference on Future and Sustainable Energy Systems (ACM e-Energy 2025) and its co-located tutorials and workshops will take place from June 17-20, 2025. Workshops, including the AI-Driven Energy Efficiency in Dynamic Systems Workshop (AI-DEEDS), will be held on June 17. (Schedule subject to change.)
Hosted by the AI Institute in Dynamic Systems, AI-DEEDS features a Common Task Framework Challenge to benchmark solutions for predicting and optimizing the physical dynamics of large, complex HVAC systems. For this competition, Google has released an open-source TensorFlow Dataset on predicting the physical dynamics of the HVAC system with six years of real-world telemetric data collected from their own office buildings. The top four leaderboard submissions will be invited to present lightning talks.
Visit our website to learn more about the AI-DEEDS Workshop!

ICICLE Webinar: AI-enabled Food Systems - Food Access Simulation and Modeling to Enhance Food Security
2025-06-17 11:00 - 12:00 (America/New_York)
ABSTRACT: The webinar will introduce how to utilize AI and CI resources to increase national and regional food access and security through scalable

food production-to-consumption flow modeling,
agent-based food access simulation and planning,
food logistics optimization, and
privacy-preserving frameworks that enable secure food organization data sharing and integration. This ICICLE project will support decision-makers in community organizations, government, and nonprofit organizations in understanding food distribution across multiple geographic and organizational scales. This is possible through the combination of efforts by developing and deploying various AI/CI components.

ICICLE AI Institute Webinar Series - Cyberinfrastructure for Biodiversity Research
2025-07-10 11:00 - 12:00 (America/New_York)
Researchers, Practitioners, Developers interested in exploring the benefits of field studies and emphasizing relationships with the biodiversity community here is an opportunity to learn from experts in the field !
When: Thursday, July 10, 2025 , 11AM – Noon EST
Zoom Link: https://osu.zoom.us/j/93195486710?pwd=[REDACTED]
ABSTRACT: Use-inspired cyberinfrastructure (CI) delivers efficacious, efficient, and context-aware data, software, and hardware to help research communities solve their problems. In biodiversity communities, drones, camera traps, and acoustic sensors are increasingly critical CI, enabling breakthroughs driven by data harvested in the field. However, many pressing intellectual shortfalls in biodiversity require coordinated, adaptive, and multi-modal sensing systems not supported by today’s CI for biodiversity research. This webinar will present Smart Fields, an interdisciplinary collaboration housed in the ICICLE AI Institute, that is developing novel, use-inspired CI to supercharge biodiversity research. By design, our CI emphasizes relationships with the biodiversity community and products that make field studies more effective, efficient, and affordable. With our CI as a backdrop, biodiversity researchers and practitioners are (1) exploring ambitious plans to develop a living lab at the largest conservation center in North America, (2) conducting field studies with integrated drones, camera traps, and acoustic sensors that adapt to each other, (3) making better use of a wide range of AI systems from species detection to code generation, and (4) enhancing existing CI for biodiversity.

DynamicsAI Workshop: Computational Optimization of Buildings (CO-BUILD)
2025-07-18
Computational Optimization of Buildings (CO-BUILD)
2025 ICML Conference Workshop
CO-BUILD brings together experts in machine learning, control systems, and smart infrastructure to define benchmarks, launch tools, and drive real-world deployment. Featuring a $5,000 Kaggle challenge on operational building data, and keynotes by leaders including Shirley Ho and Priya Donti.
Panels with Bianca Howard, Michael Kane, Chris Develder, Donna Vakalis, and more. Organized by Judah Goldfeder, Philippe Wyder, J. Nathan Kutz, John Sipple, Victoria Dean, Hod Lipson, Na Li, and Bing Dong.
Partnered with Google Research, National Science Foundation (NSF) AI Institute in Dynamic Systems, Kaggle, Columbia University, Harvard University, Syracuse University, Franklin W. Olin College of Engineering, University of Washington, Mila – Quebec Artificial Intelligence Institute, Massachusetts Institute of Technology, Northeastern University, Ghent University, and Carnegie Mellon University, among many others, and powered by the Smart Building Simulator (https://lnkd.in/eZV9AGjn), this is a call to build a more intelligent, efficient, and sustainable future—together.
Visit our website to learn more about the CO-BUILD Workshop!

IAIFI Summer Workshop
2025-08-11 - 2025-08-15 | Harvard University, Cambridge, MA, 02138, United States
The IAIFI Summer Workshop brings together researchers from across Physics and AI for plenary talks, poster sessions, and networking to promote research at the intersection of Physics and AI. Register now!
August 11–15, 2025
Harvard University
Cambridge, MA
Register by July 31. Learn more (including a list of confirmed speakers and FAQs)
Submissions for contributed talks and/or posters are due by June 1.
The Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) is enabling physics discoveries and advancing foundational AI through the development of novel AI approaches that incorporate first principles, best practices, and domain knowledge from fundamental physics. The goal of the Workshop is to serve as a meeting place to facilitate advances and connections across this growing interdisciplinary field.

Call For Papers - First International Workshop on Applications of HPC and AI in Agriculture (HARVEST’25)
2025-09-09 08:00 - 2025-09-10 17:00 (America/Los_Angeles) | The Catamaran Resort Hotel, 3999 Mission Blvd, San Diego, CA, 92109, United States
First International Workshop on Applications of HPC and AI in Agriculture (HARVEST’25) [https://icicle-ai.github.io/harvest/] to be held in conjunction with 54th International Conference on Parallel Processing at The Catamaran Resort Hotel San Diego, CA on September 9-10, 2025.

ISU-NISS Conference on AI and Statistics
2025-09-12 - 2025-09-14 | Iowa State University, 2229 Lincoln Way, Ames, IA, 50011, United States
The 2025 ISU-NISS Conference on AI and Statistics brings together researchers at the intersection of artificial intelligence and statistical science to explore the latest theoretical and applied advances in AI and statistics.
Academics, industry professionals, and students are invited to attend for stimulating discussions, collaborative networking, and community-building around the future of AI and statistics.
Friday, September 12, 2025 – Sunday, September 14, 2025
Iowa State University, Memorial Union
This three-day event will feature invited plenary sessions and poster presentations covering a range of topics, such as causal reasoning, online inference and streaming data, sequential decision-making, image and shape analysis, geospatial AI, and applications of machine learning and AI in forensic science and survey statistics.
Learn more and register.

NSF AI-SDM Damage Assessment Workshop
2025-09-19 13:00 - 15:00 (America/Halifax) | Zoom webinar
Awareness Training for Using Artificial Intelligence for Building and Road Damage Assessment from Drone Imagery
Emergency management and public safety professionals will soon have the opportunity to explore how to use AI for building and road damage assessment, from drone imagery. No prior experience or knowledge of AI is required for this no-cost, two-hour training!

September 19, 2025
1:00–3:00 pm Eastern
Register now!
Experts Tom Manzini, Stephen Johnson, and Robin Murphy will cover the practical skills needed to correctly interpret Texas A&M’s CLARKE Damage Assessment Software.
Learn more about the training.
