IESP webinar
2024-02-12 12:00 - 13:00 (America/New_York) | Zoom webinar
To help clarify the vision of the AIVO expansion program International Engagement Support Program and help Institutes identify how this funding support might advance their work, Ryan Burns is hosting a webinar next month where he will give a brief overview of the program and then answer your questions. The Zoom link is below. Hope to see you there! And please feel free to shoot Ryan your questions in the meantime.
Ryan Burns is inviting you to a scheduled Zoom meeting.
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Workshop: Common Task Framework for Science and Engineering
2024-02-20 - 2024-02-21
Machine learning and AI are used broadly in science and engineering, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications. The AI Institute in Dynamic Systems aims to build a common task framework (CTF) for evaluating algorithms with an overarching goal to develop a taxonomy of enabling architectures and algorithms for the various tasks required in applications, including estimation, forecasting, sensing and control. This is in keeping with our mission to build and support sustainable challenge data sets for evaluating tools for solving modern problems in science and engineering.
Join us in person (or online) for our workshop on the CTF for Science and Engineering!

AgAID Seminar Series: Strategic Science Communication & Artificial Intelligence
2024-03-01 - 2024-04-19
Join AgAID for a three-part seminar series delving into public perception and engagement with evolving AI technology.

In this seminar series, Science Communication Specialist, Dr. Alex Kirkpatrick, will address challenges, opportunities, research, and best practices in communicating about AI. See below for event times and Zoom links.
03/01/2024, 9-10 a.m. PST: On the Public Understanding of AI [Zoom link]
03/15/2024, 9-10 a.m. PST: Research Presentation [Zoom link]
04/19/2024, 9-10 a.m. PST: AI Communication Strategies and Best Practices [Zoom Link]

TILOS webinar on AI Ethics in Research - Friday 3/8 at 12:00 p.m. PST
2024-03-08 12:00 - 13:00 (America/Los_Angeles) | Zoom webinar
Tune into The Institute for Learning-enabled Optimization at Scale (TILOS)’s webinar on AI Ethics in Research.
Attendees will learn frameworks for integrating ethics into AI development, strategies for measuring bias and fairness, and gain insights into how optimization can reveal and mitigate societal biases in AI algorithms. Follow the link below for more information:
https://tilos.ai/events/ai-ethics-in-research-webinar/

AAAI 2024 Spring Symposium Series
2024-03-25 - 2024-03-27 | Stanford University
AAAI 2024 Spring Symposium Series will be hosted at Stanford University on March 25-27, 2024 as part of the Association for the Advancement of Artificial Intelligence (AAAI) conference.
The conference will include the following eight symposia:

Bi-directionality in Human-AI Collaborative Systems
Clinical Foundation Models Symposium
Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE 2024)
Federated Learning on the Edge
Impact of GenAI on Social and Individual Well-being
Increasing Diversity in AI Education and Research
Symposium on Human-Like Learning
User-Aligned Assessment of Adaptive AI Systems

Register to attend at the AAAI Spring Symposium website.
Call for Papers
The “Increasing Diversity in AI Education and Research” symposium topics include (1) AI at Minority-Serving Institutions (MSIs), (2) AI for Good, and (3) Addressing Digital Inequality. Interested presenters should submit abstracts by January 2nd followed by either full papers (8 pages maximum) or extended abstracts (2 pages maximum) by February 19th. Submissions are not required for attendance.
More details for paper submission for the “Increasing Diversity in AI Education and Research” symposium can be found at the symposium website: https://sites.google.com/uncc.edu/aaai-diversity-in-ai-education/home
For questions regarding paper submissions, please reach out to Dr. Jodi Reeves, (jreeves@nu.edu) from TILOS and National University or Dr. Jamie Payton (payton@temple.edu) from INVITE Institute and Temple University.

ICICLE & OSU CSE Distinguished Seminar Series
2024-05-09 12:00 - 13:00 (America/New_York)
We invite you to join us for a joint ICICLE & OSU CSE Distinguished Seminar Series on Thursday, May 9 at Noon, EST featuring Prof. B.S Manjunath from the University of California, Santa Barbara. He will present his work on Bisque, a robust, open-source cloud-based platform designed for reproducible computer vision.
Click to access icicle-seminar-manjunath_05092024-1.pdf

Dynamics AI: Data-Driven Science & Engineering Seminar Series
2024-06-13 11:00 - 12:00 (America/Los_Angeles) | University of Washington
Join us for our ongoing Data-Driven Science & Engineering Seminar Series organized by the AI Institute in Dynamic Systems. Visit our website to sign up for the seminar mailing list to receive future announcements and to view recordings from past events!

ICICLE Seminar Series featuring Professor Laura Schmidt and Dr. Amarnath Gupta
2024-06-13 12:00 - 13:00 (America/New_York) | Zoom webinar
The ICICLE Seminar Series is happy to announce the next set of speakers for June 13th, 2024: Professor Laura Schmidt from UCSF and Dr. Amarnath Gupta from the San Diego Supercomputer Center will be joining us to talk about NSF Convergence Accelerator Track J Award entitled NOURISH, the Network Of User-Engaged Researchers building Interdisciplinary Scientific Infrastructures for Healthy food. This seminar will feature two talks, one from the domain science perspective, and one from the AI/CI perspective to describe the why, what, and how the NOURISH platform is being developed to solve food system inequities.
When: Thursday, June 13, 12:00 – 1:00PM EST
Join Zoom Meeting
https://osu.zoom.us/j/93195486710?pwd=[REDACTED]

Workshop | Machine Learning for Science & Engineering
2024-06-24 - 2024-06-25 | University of Washington
Physics-informed Machine Learning (ML) continues to emerge as a leading paradigm integrating artificial intelligence (AI) with engineering dynamic systems. This approach provides new capabilities in real-time sensing, learning, decision-making, and predictions that are ethical, efficient, reliable, safe, and imbued with uncertainty quantification. The foundations of physics-informed ML are rooted in four key disciplines: (i) control theory, (ii) probability and statistics, (iii) optimization, and (iv) dynamical systems (modeling). The integration of all four disciplines is critical for the development of ML algorithms that can be leveraged by engineered systems. Establishing rigorous mathematical connections between these disciplines is a driving inspiration for our efforts in reframing the foundations of ML for the engineering sciences.
Coming up on June 24-25, 2024, The AI Institute in Dynamic Systems is offering our annual workshop with teamwork focused activities on themes in Machine Learning for Science & Engineering, held at the University of Washington, Seattle Campus. Check out our website for more information.

Responsible AI in Education: Release and Discussion of the Department of Education’s New Guide for Developers
2024-07-08 10:00 - 11:00 (America/Los_Angeles)
Join this Zoom webinar to hear from senior leadership in the U.S. Department of Education about their newly released document, “Designing for Education with Artificial Intelligence: An Essential Guide for Developers.”

AI2ES Talks: Measuring Sharpness of AI-Generated Meteorological Imagery
2024-07-17 10:00 - 11:00 (America/Los_Angeles)
Featuring Imme Ebert-Uphoff (CSU/CIRA), this one-hour talk focuses on Measuring Sharpness of AI-Generated Meteorological Imagery.

AI for Agriculture Summit: A Visioning Conference
2024-07-29 - 2024-07-30 | Washington, D.C.
Envision How AI Can Tackle Critical Global Challenges in Ag
There is a pressing need for agricultural innovation to meet the demands of a growing global population amidst challenging environmental conditions. Attendees at the AI for Agriculture Summit will help develop a long-term technical vision and implementation strategy for leveraging agricultural AI advancements, starting with a white paper to share recommendations based on discussions held during the summit.
This invite-only conference will explore how foundational AI advances can tackle critical global challenges in agriculture. You will have the opportunity to connect with experts from academia, industry, NGOs, and government agencies.
Hosted by the five USDA National AI Institutes — AIFARMS, AIFS, AgAID, AIIRA, and AI-CLIMATE — the program focuses on big-picture ideas and challenges in ethical AI research relevant to agriculture and will highlight the importance of investing resources into AI-for-Agriculture to benefit partners across disciplines.

INVITEd Talk: Understanding Ethics of AI
2024-07-30 11:30 - 13:00 (America/Los_Angeles)
Join us via Zoom for a talk to introduce the main issues and themes pertaining to the ethics of AI, featuring Clayton Peterson, Associate Professor of Philosophy, Université du Québec à Trois-Rivières.
Analyzing what the ethics of AI are by reflecting on our understanding of both ethics and AI, the aim of this session is to clarify and expose how the ethics of AI can be conceived in different ways depending on the approach adopted. Using concrete examples, the objective is to introduce various issues that can be found within the ethics of AI literature, allowing researchers to reflect upon their own research and practice. Specific examples relating to AI in education, such as the use of generative AI tools (e.g., ChatGPT), will be discussed.
Learn more at: www.uqtr.ca/Chaire.Ethique.IA

Workshop on Knowledge-Guided ML (KGML2024)
2024-08-07 | McNamara Alumni Center, University of Minnesota Twin Cities, 200 Oak Street SE, Minneapolis, MN, 55414, United States
A Framework for Accelerating Scientific Discovery
Explore the depth and diversity of research methodologies being explored in knowledge-guided machine learning (KGML) for a wide range of scientific applications, as well as the gaps in the current state of KGML research providing novel opportunities to advance AI foundations while accelerating discoveries in problems of high societal relevance.

ICICLE & OSU CSE Distinguished Seminar featuring Dr. Dan Stanzione
2024-08-22 11:00 - 12:00 (America/New_York)
We invite you to join us for a joint ICICLE & OSU CSE Distinguished Seminar Series on Thursday, August 22 at 11AM EST featuring Dr. Dan Stanzione, Associate Vice President for Research at The University of Texas at Austin and Executive Director of the Texas Advanced Computing Center (TACC). He will provide an overview of the plans for the recently funded NSF Leadership Class Computing Facility, and focus in particular on the role that AI will play in both the workloads supported by the Facility and the operations of the Facility itself. Details available here https://icicle.osu.edu/events

Machine Learning for Cyber-Agricultural Systems (MLCAS 2024) Workshop
2024-10-07 | Nebraska Innovation Campus, 2021 Transformation Dr., Lincoln, NE, 68508, United States
During this workshop, awards for the MLCAS Corn Yield Prediction Using Satellite Data competition will be announced. The challenge for MLCAS 2024 focuses on the use of satellite imagery datasets from the U.S. Midwest to predict genotype-specific plot-level yield for the 2023 multi-state maize hybrid trials.

Announcing SAIL 2024
2024-10-07 - 2024-10-10
Save the Date!
The Summit for AI Institutes Leadership 2024 is set for October 7-9 in Pittsburgh, Pennsylvania, and Expo Day is scheduled for October 10.
Join us for these four days of collaboration, innovation, and knowledge sharing!

Dynamics AI Seminars
2024-10-18 - 2025-05-31 | University of Washington
Dynamics AI Seminar Series
2024-2025
See dynamicsai.org for details, including mailing list signup and recordings!

ARNI Distinguished Seminar Series
2024-11-01 15:00 - 16:30 (America/New_York)
ARNI Distinguished Seminar Series
We are excited to announce the inaugural seminar for the ARNI Distinguished Seminar Series. This will be the first in a series of seminars focused on cutting-edge topics in AI research, innovation, and applications.

Jim DiCarlo
Peter de Florez Professor, Brain and Cognitive Sciences; Director, MIT Quest for Intelligence
Location: Zuckerman Institute – Kavli Auditorium (9th Floor)- 3227 Broadway
Date and Time: November 1st at 3:00pm
Zoom: Link
Title:
Do contemporary, machine-executable models (aka digital twins) of the primate ventral visual system unlock the ability to non-invasively, beneficially modulate high level brain states?
Abstract:
In this talk, I will first briefly review the story of how neuroscience, cognitive science and computer science (“AI”) converged to create specific, image-computable, deep neural network models intended to appropriately abstract, emulate and explain the mechanisms of primate core visual object identification and categorization behaviors. Based on a large body of primate neurophysiological and behavioral data, some of these network models are now the most accurate emulators of the primate ventral visual stream — they well-approximate both its internal neural mechanisms and how those mechanisms support the ability of humans and other primates to rapidly and accurately infer object identity, position, pose, etc. from the set of pixels (image) received during typical natural viewing.
Because these leading neuroscientific emulator models — aka “digital twins” — are fully observable and machine-executable, they offer predictive and potential application power that our field’s prior conceptual models did not. I will describe two recent examples from our team. First, the current leading digital twins predict that the brain’s high level visual neurons (inferior temporal cortex, IT) should be highly susceptible to “adversarial attacks” in which an agent (the adversary) aims to strongly disrupt the normal neural response (here, neural firing rate) to any given natural image via small magnitude, targeted changes to that image. We verified this surprising prediction in monkey IT neurons. Second, we show how we can turn this result around and extend it: instead of making adversarial “attacks”, we propose using digital twin models to support non-invasive, beneficial brain modulation. Specifically, we show that we can use a digital twin to design spatial patterns of light energy that, when applied to the organism’s retina in the context of ongoing natural visual processing, results in precise modulation (i.e. rate bias) of the pattern of a population of IT neurons (where any intended modulation pattern is chosen ahead of time by the scientist). Because the IT visual neural populations are known to directly modulate downstream neural circuits involved in mood and anxiety, we speculate that this could provide a new, non-invasive application avenue of potential future human clinical benefit.

TILOS Seminar: How Transformers Learn Causal Structure with Gradient Descent
2024-11-20 11:00 - 12:00 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States
Zoom: https://bit.ly/TILOS-Seminars

NSF OAC Office Hours
2025-01-17 12:00 - 13:30 (America/New_York) | Zoom webinar
NSF’s Office of Advanced Cyberinfrastructure (OAC) Concierge Team is hosting virtual office hours starting January 17. Get details about your no-cost access to national advanced computing resources!

Registration is now open for these sessions:

January 17, noon to 1:30 p.m. EST
January 31, noon to 1:30 p.m. EST
February 14, noon to 1:30 p.m. EST
February 28, noon to 1:30 p.m. EST
March 14, noon to 1:30 p.m. EDT
March 28, noon to 1:30 p.m. EDT

Drop in to the office hours to discover how you can leverage cyberinfrastructure resources 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. Register now!

ICICLE Open House
2025-01-21 13:00 - 19:00 (America/Los_Angeles) | UC San Diego, Halicioglu Data Science Institute, Room 123, 3234 Matthews Lane, La Jolla, CA, 92093, United States
Learn about the AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE)! Explore ICICLE’s various use-inspired science projects and NextGen & Educational Fellow Initiatives.
This event is open to the public. Register by January 15.
View the event flyer for more details.

AI-ALOE Webinar: Introducing the National Tutoring Observatory
2025-01-22 12:00 - 13:00 (America/New_York) | Zoom webinar
Don’t miss this exciting webinar with Professor Rene Kizilcec from Cornell University!
Are you curious about the intersection of tutoring, AI, and the future of learning? This talk will introduce the mission and approach of the National Tutoring Observatory (NTO) and share some ongoing work in the Future of Learning Lab.
We are looking forward to learning how tutoring has become a key response to pandemic learning losses, the role of high-quality teaching data in advancing AI for education, and discovering how the NTO leverages real-world teaching recordings and cutting-edge AI to shape the future of education.
Learn how we’re tackling one of the most pressing challenges in education today. Register now!

AIVO Communications Office Hours
2025-01-24 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, January 24, 2025, 10:00–11:00 a.m. Pacific / 1:00–2:00 p.m. Eastern
Friday, February 21, 2025, 10:00–11:00 a.m. Pacific / 1:00–2:00 p.m. Eastern
Friday, March 21, 2025, 10:00–11:00 a.m. Pacific / 1:00–2:00 p.m. Eastern
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.
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TILOS Seminar: Unlearnable Facts Cause Hallucinations in Pretrained Language Models
2025-01-29 11:00 - 12:30 (America/Los_Angeles) | Halicioglu Data Science Institute Room 123, 3234 Matthews Ln, La Jolla, CA, 92093, United States

NSF OAC Office Hours
2025-01-31 12:00 - 13:30 (America/New_York) | Zoom webinar
NSF’s Office of Advanced Cyberinfrastructure (OAC) Concierge Team is hosting virtual office hours for the AI Institutes. Get details about your no-cost access to national advanced computing resources!

Registration is now open for these sessions:

January 31, noon to 1:30 p.m. EST
February 14, noon to 1:30 p.m. EST
February 28, noon to 1:30 p.m. EST
March 14, noon to 1:30 p.m. EDT
March 28, noon to 1:30 p.m. EDT

Drop in to the office hours to discover how you can leverage cyberinfrastructure resources 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. Register now!

AI-SDM Seminar Series: AI Assurance for Public Good
2025-01-31 15:00 - 16:30 (America/New_York) | Zoom webinar
The AI Institute for Societal Decision Making (AI-SDM) is excited to host several AI scientists and directors from MITRE at Carnegie Mellon University (CMU) on Friday, January 31, 2025!

Seminar Title: AI Assurance for Public Good
Seminar Speakers from MITRE:

Ozgur Eris, Managing Director of the AI and Autonomy Innovation Center
Christina Liaghati, Manager of the Trustworthy & Secure AI Department and MITRE ATLAS Lead
Ben Wellner, Chief Scientist for Generative AI

Seminar Date & Time: Friday, January 31, 2025 | 3:00 – 4:30 pm, Eastern Time
Seminar Locations:

Newell-Simon Hall, Room 4305 (fourth floor), CMU
Zoom (Click to register for the meeting.)

In-Person Meetings with MITRE Speakers:
MITRE speakers will also be available to meet in person at CMU throughout the day with anyone who is interested. Sign up for a meeting time slot. (Catered lunch will be provided to those who select the lunch 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?Seminars:

Friday, February 14, 2025 | 3:00 – 4:30 pm Eastern Time | Valerie Chen
Friday, February 28, 2025 | 3:00 – 4:30 pm Eastern Time | Aviral Kumar
Friday, March 21, 2025 | 3:00 – 4:30 pm Eastern Time | Terri Adams
Friday, April 4, 2025 | 11:30 am – 1:00 pm Eastern Time | Deb Roy
Friday, April 11, 2025 | 11:30 am – 1:00 pm Eastern Time | Rayid Ghani
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

TRAILS Conference - AI at Work: Building and Evaluating Trust
2025-02-03 - 2025-02-04 | The George Washington University, 1918 F Street, NW, Washington, D.C., VA, 20052, United States
The Institute for Trustworthy AI in Law and Society (TRAILS) invites AI thought leaders, researchers, and advisors from industry, policy, and academia to join us for AI at Work: Building and Evaluating Trust.

February 3-4, 2025
The George Washington University

Washington, D.C.

This two-day event will explore ethical frameworks and guidelines for AI systems, strategies for building trustworthy AI governance within organizations, supporting AI and/as Workers, and tools to help address the challenges of AI at work across all sectors.

This event is open to the public, though pre-registration is required to attend, as seating is limited.

To view the agenda and register, visit trails.gwu.edu/trailscon-2025.

Event Details

Keynote panels include guests from IBM, Carnegie Endowment for International Peace, Meta, Microsoft Research, the National Institute of Standards and Technology, Qualcomm, Trustible, Unanimous AI, and many more.

Conference tracks include: Trustworthy AI Governance Within Organizations, AI and Career Trajectories, AI and/as the Worker, and Connecting Trustworthy AI Research to Operational Practices.

Keynote Panels:

Making Evaluation Make Sense: Designing Evaluation Measures for AI Systems Users Can Understand and Trust
AI as Work: Expanding Participation in AI Design, Development, and Evaluation
Who Participates in Participatory AI, and How Can We Make it More “Participatory”?
AI in the Work-World

Breakout Session Highlights:

Increasing AI Diversity in the Workforce
Overcoming Organizational Challenges When Adopting NIST Risk Management Framework
Supporting Good AI Governance Practices Within Organizations
Exploring Real-World Tools and Theories for Addressing the “AI at Work” Challenges
Imagining the Future of AI and Workers: A Strategic Foresight Workshop

Register now!
For more information about this event and TRAILS in general, please contact Mallory Smith, Director of Outreach and Strategy at mallory.smith@gwu.edu.

TILOS-SDSU Seminar: Challenging Estimation Problems in Vehicle Autonomy
2025-02-12 11:00 - 12:00 (America/Los_Angeles) | Gold Auditorium at San Diego State University, 473 Avenue of the Art, San Diego, CA, 92115, United States
Zoom: https://SDSU.zoom.us/j/88253557555

National Advanced Computing Resources Office Hours
2025-02-14 12:00 - 13:30 (America/New_York) | Zoom webinar
Get details about your no-cost access to national advanced computing resources during virtual office hours for the AI Institutes!

Registration is now open for these sessions:

February 14, noon to 1:30 p.m. EST
February 28, noon to 1:30 p.m. EST
March 14, noon to 1:30 p.m. EDT
March 28, noon to 1:30 p.m. EDT

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. Register now!
