Related Events

Upcoming External Events

  • Colloquium on Astronomy re-envisioned: investigating the physics of galaxy evolution with Machine Learning, MIT Kavli Institute
    • Tuesday, April 15, 2025, 4:00pm– 5:00pm
    • Marlar lounge & via zoom
    • Speaker: John Wu, STScI
      Title: Astronomy re-envisioned: investigating the physics of galaxy evolution with Machine Learning
      Abstract: Interpretable machine learning (ML) techniques and artificial intelligence (AI) are revolutionizing our ability to study galaxy evolution and large-scale structure. Convolutional neural networks (CNNs) can now reliably predict galaxies’ physical properties, including cold gas content and metallicity, directly from three-color optical images. These models can even reconstruct entire optical spectra from imaging alone. Highly optimized CNNs can also robustly identify nearby dwarf galaxies from wide-area surveys, significantly expanding the sample of known satellite systems at low redshifts. Meanwhile, graph neural networks (GNNs) can encode the large-scale environment from cosmological simulations, and represent its impacts on the galaxy–halo connection. These applications demonstrate how explainable ML models with strong inductive biases can enable new scientific insights in galaxy evolution and cosmology. With upcoming wide-area surveys from the Vera C. Rubin Observatory, Nancy Grace Roman Space Telescope, and Euclid, advanced ML and interpretable AI methods will play an increasingly vital role in extracting physical understanding from cosmic datasets.
  • MMLI Symposium 2025 - ‘AI Scientists? What Would It Take?’, The Molecule Maker Lab Institute (MMLI)
    • Tuesday, April 15, 2025 – Wednesday, April 16, 2025
    • National Center for Supercomputing Applications (NCSA), Urbana, IL, or Zoom
    • The Molecule Maker Lab Institute (MMLI) invites you to our upcoming research symposium, ‘AI Scientists? What Would It Take?’ This event will bring together researchers, industry leaders, and students to explore the intersection of artificial intelligence and chemistry, discussing what it takes to advance AI-driven scientific discovery.
  • MIT Ethics of Computing Research Symposium, The Social and Ethical Responsibilities of Computing (SERC)
    • Thursday, May 1, 2025, 9:00am– 5:00pm
    • MIT Schwarzman College of Computing
    • Join the Social and Ethical Responsibilities of Computing (SERC) for an extraordinary series of 15 thought-provoking TED-style talks exploring the intersection of technology, ethics, and social responsibility in computing. Born from MIT’s Institute-wide commitment to responsible innovation, this groundbreaking event showcases research supported by the SERC seed grant program.
  • Third Annual UMB Department of Physics Research Symposium: Quantum Collaborations, The UMB Department of Physics
    • Friday, May 2, 2025, 8:30am– 7:00pm
    • UMass Boston, Campus Center Ballroom A (U03-3550)
    • In celebration of the “International Year of Quantum Science and Technology” the Department of Physics will be hosting our Third Annual Research Symposium with a theme of ‘Quantum Collaborations.’ This event will include speakers from both academia and the industry, showcasing collaborative efforts by UMB Physics faculty with leaders from academia and industry. This will be a great opportunity to learn more about the history and ‘magic’ of quantum physics, explore new research advances by UMB faculty and collaborators, and connect with experts shaping the future of the field. The afternoon (2:00-5:00pm) will feature the IAIFI-UMB partnership and will include presentations from IAIFI members.
  • AstroAI Summer Program - Unveiling the Universe with AI/ML, AstroAI
    • Monday, June 2, 2025 – Friday, August 29, 2025
    • Center for Astrophysics - Harvard & Smithsonian (CfA), 60 Garden St., Cambridge, MA
    • Join AstroAI for a transformative summer research experience in 2025, where undergraduate and graduate students will collaborate with AstroAI scientists at the exciting intersection of astronomy and artificial intelligence. Students will gain hands-on experience analyzing astronomical data, developing new algorithms, and exploring groundbreaking discoveries in astrophysics. As part of this immersive program, you will work alongside a multidisciplinary team, expand your professional network, and build valuable research and technical skills that will set you apart in today’s competitive scientific landscape. Whether you are looking to build a solid foundation for graduate school or further your career in astrophysics, data science, or AI, the summer program at AstroAI is the perfect launchpad for your journey.
  • Advanced Summer School in Quantum Field Theory and Quantum Gravity, CERN
    • Sunday, June 8, 2025 – Saturday, June 21, 2025
    • International Center for Interdisciplinary Science and Education, Quy Nhon, Vietnam
    • This Summer School is aimed at advanced doctoral students and postdoctoral fellows. It is the 2025 edition in a biennial series of Advanced Summer Schools in High Energy Theoretical Physics, which were traditionally held either in Cargèse or Les Houches. This session will take place at ICISE, the International Center for Interdisciplinary Science and Education in Quy Nhon, Vietnam. The center is surrounded by a lush garden and just a few steps away from a beautiful beach. The School will include introductory and advanced lectures on the following topics: Quantum gravity, string theory, black holes, amplitudes, holography, cosmology, quantum information theory, theoretical condensed matter and artificial intelligence. The schedule will leave ample room for discussions. This School is part of the network of CERN Summer Schools of Excellence and is supported by CERN, ICISE and other funds.
  • Session during EAS Annual Meeting: The changing macrocosm of astroinformatics: big data, artificial intelligence, statistical inference, challenges, and more (Abstracts due Monday, March 3, 2025), AstroAI
    • Thursday, June 26, 2025 – Friday, June 27, 2025
    • University College Cork, Ireland
    • Astronomical advances in data science, computation, machine learning, and statistics are all captured within the growing field of astroinformatics. As astronomical datasets continue to grow in size and complexity, associated challenges continue to emerge, such as infrastructure for storage and access to datasets, evolution of data format through survey lifespans, preserving discovery potential in the era of overwhelming data sizes, and ensuring the continuing development of astronomical knowledge while minimising the environmental impact of computations.
      In recognition of these challenges we invite abstracts on advances in distributed data processing, effective data access, rapid data analysis, computational infrastructure, accessible toolkits and pipelines for data analysis using automated approaches. We will also explore cutting-edge statistical inference techniques, particularly focusing on simulation-based and deep learning approaches to inference in our 2-day scientific session at the European Week of Astronomy in Cork, Ireland.
  • Advanced Artificial Intelligence for Precision High Energy Physics, The Università degli Studi di Milano (Italy), Nikhef and Vrije Universiteit Amsterdam (The Netherlands), and the Higgs Centre for Theoretical Physics, Edinburgh University (UK)
    • Monday, July 14, 2025 – Friday, July 25, 2025
    • Lake Como School of Advanced Studies (Como, Italy)
    • Artificial intelligence techniques are becoming increasingly important in high energy physics (HEP), with a range of applications that goes from analytic computations and symbolic regression to modeling, optimization and pattern recognition. Many of these applications tackle cutting-edge problems in machine learning (ML), and in fact address issues, such as the need to accurate uncertainty estimations, that are often disregarded in the most common ML applications. The goal of this school is to provide hands-on training on cutting edge machine learning methods in HEP by combining extensive advanced courses taught with extended tutorial sessions. The tutorials will exploit as a playing ground the NNPDF open-source code, which, originally aimed at the determination of parton distribution, makes use of a variety of current ML, statistical and analysis tools and techniques of wide applicability.
  • CNTR Tech & Policy Summer School, Brown University Center for Technological Responsibility, Reimagination and Redesign (CNTR)
    • Tuesday, July 22, 2025 – Thursday, July 31, 2025
    • Providence, RI and Washington, DC
    • Redesign (CNTR) is launching an AI Policy Summer School from Tuesday, July 22nd, through Thursday, July 31st, 2025. This summer school will take place in person in both Providence, RI and Washington, DC. The goals of this summer school are to: (1) Enable graduate students to conduct high-quality policy-informed AI research, (2) Empower students to advocate for new AI policies or changes to existing policy, and (3) Build a pipeline of qualified technologists to fill emerging needs in government.
  • Princeton Machine Learning Theory Summer School, Boris Hanin (Assistant Professor, Princeton ORFE)
    • Tuesday, August 12, 2025 – Thursday, August 21, 2025
    • Princeton University
    • This summer school is aimed at PhD students interested in machine learning theory. The primary goal is to showcase, through four main courses, a range of exciting recent developments in the subject. The primary focus this year is on theoretical advances in deep learning. An important secondary goal is to connect young researchers and foster community within theoretical machine learning.

Upcoming Workshops

  • Frontiers in NeuroAI - Kempner Institute Symposium, Kempner Institute
    • Thursday, June 5, 2025 – Friday, June 6, 2025
    • Allston, MA (with option for virtual attendance)
    • Frontiers in NeuroAI is a two-day symposium, open to the public, exploring key topics in the rapidly-advancing field of NeuroAI, including: How natural and artificial systems learn, and how these processes are similar or different across systems; The implications of rapid progress in machine learning on understanding neural processes, the nature of intelligence, and human cognitive abilities; and Innovations that are pushing forward the reasoning and generative capabilities of AI systems. The symposium will feature presentations from cutting-edge experts from neuroscience and AI as they discuss advances in learning across both fields.
  • Accelerating statistical inference and experimental design with machine learning, The Isaac Newton Institute for Mathematical Sciences
    • Monday, June 23, 2025 – Friday, June 27, 2025
    • Isaac Newton Institute in Cambridge, UK
    • This workshop focuses on leveraging modern machine learning to accelerate statistical inference, experimental design, and scientific discovery. It features research talks, tutorials, and a poster session, with ample time reserved for informal discussions. The tutorials cover important background, e.g. on experimental design and diffusion models.

      The overall aim is that, by the end of the workshop, attendees will be well-acquainted with both the foundations and the latest trends and advances in the field.
  • BOOST 2025 – 17th International Workshop on Boosted Object Phenomenology, Reconstruction, Measurements, and Searches at Colliders, BOOST 2025 Local Organizing Committee
    • Monday, July 28, 2025 – Friday, August 1, 2025
    • Brown University, Providence, Rhode Island
    • BOOST 2025 is the 17th conference of a series of successful joint theory/experiment workshops that bring together the world’s leading experts in theoretical and experimental collider physics to discuss the latest progress and develop new approaches on the reconstruction of and use of jet substructure to study Quantum Chromodynamics (QCD) and search for physics beyond the Standard Model.
  • AstroAI Workshop - Unveiling the Universe with AI/ML, AstroAI
    • Monday, July 28, 2025 – Friday, August 1, 2025
    • Center for Astrophysics - Harvard & Smithsonian (CfA), 60 Garden St., Cambridge, MA 02138
    • The AstroAI Workshop is designed to foster an environment of learning, collaboration, and innovation. Over the course of five days, participants will engage in a series of lectures and discussions led by experts in the fields of AI/ML and astrophysics, hands on sessions, talks by early career scientists in the field, and networking events. This workshop is an opportunity for early career scientists to deepen their understanding of foundational AI/ML models for astrophysical research, and their potential in unraveling the mysteries of the universe.
  • Build Big or Build Smart: Examining Scale and Domain Knowledge in Machine Learning for Fundamental Physics, MIAPbP (Munich Institute for Astro-, Particle- and Biophysics)
    • Monday, August 25, 2025 – Friday, September 19, 2025
    • Munich, Germany
    • MIAPbP will be hosting a workshop on the topic of ‘Build Big or Build Smart: Examining Scale and Domain Knowledge in Machine Learning for Fundamental Physics’ from August 25 - September 19 at the Munich Institute for Astro-, Particle- and Biophysics (MIAPbP) in Munich, Germany. Applications for the workshop are open until January 19th 2025. If you are interested in large-scale foundation models for science, physics-inspired methods in artificial intelligence, this workshop may be a great fit for you. The MIAPbP team hopes to discuss over the course of four weeks, what the interplay is between these ideas for scientific applications.
  • Northeast Quantum Forum 2025: AI in Quantum, NEQT Organizing Committee, including Liang Fu (IAIFI Affiliate)
    • Tuesday, October 14, 2025 – Friday, October 17, 2025
    • The University of New Hampshire
    • Northeast or Greater New England area has a strong presence of quantum materials and quantum technology research. Unfortunately, for many years, there is no recurring regional workshops to bring scientists on these fields together. The Northeast Quantum Forum (NEQT) aims to fill this gap and create a collaborative platform for leading experts and motivative students in and out of New England area to exchange of ideas, advancements, and insights in the ever-evolving field of quantum science and quantum materials. We expect that this new platform becomes a hub for exciting physics and fruitful collaborations. The 2025 workshop, taking place on October 14th to 17th, 2025 at the University of New Hampshire, will feature applications of artificial intelligence methods in quantum science broadly defined.

Past Workshops

Other organizations that hold public events relevant to the IAIFI community:

This project is supported by National Science Foundation under Cooperative Agreement PHY-2019786. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.