Duke Machine Learning Summer School: Generative AI
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Duke Machine Learning Summer School: Generative AI
June 2–6, 2025 | In Person at Duke University, Schiciano Auditorium
The Duke AI Health Community of Practice is pleased to announce the Duke Machine Learning Summer School 2025: Generative AI (MLSS-GenAI), offered in June as a (presential) five-day class that provides lectures on the fundamentals of generative artificial intelligence methods and applications. The curriculum in the MLSS-GenAI is targeted to individuals interested in learning about generative AI, with a focus on recent deep learning methodologies.
The MLSS-GenAI will introduce the mathematics and statistics at the foundation of current generative and representation learning models and provide context for the methods that have formed the foundations of rapid growth in artificial intelligence (AI). Additionally, the MLSS-GenAI will provide hands-on training in the latest machine learning software, using the widely used (and free) PyTorch framework.
This is the 12th iteration of the Duke Machine Learning School presented since 2017. This series has reached hundreds of participants from academia and industry, including international audiences at the SingHealth/Duke NUS Medical School and the Duke Kunshan University campus. The last machine summer school held in 2022 attracted 130 participants from around the world, representing 41 universities, institutes, and corporations.
Program Details: Location, Registration and Cost
The registration fee is $400, with a discounted rate for members of nonprofits of $150, and a discounted student rate of $50 payable through the registration site. Registration is free for Duke students, faculty, and staff. All fees are non-refundable.
Once we reach maximum registration, we will maintain a waitlist, and will contact those on the waitlist as spots become available. We also have a small number of scholarships available for those who would be otherwise unable to join.
To register for the MLSS, please visit https://events.duke.edu/mlss2025
To request consideration for a scholarship, please visit https://duke.qualtrics.com/jfe/form/SV_09eREHD4BXNGXVI
Program Format
The 5-day class will provide lectures on the mathematics and statistics at the heart of machine learning, plus hands-on training on implementing machine learning tools with the PyTorch software platform, and case studies of the methods applied to specific application areas.
Day 1: Basics of Generative Models with David Carlson, PhD and Helen Li, PhD
Day 2: GenAI for Text with Larry Carin, PhD and Buwan Dhingra, PhD
Day 3: GenAI for Images with Ricardo Henao, PhD and Tim Dunn, PhD
Day 4: GenAI for Following Instructions with Monica Agrawal, PhD and Shuyan Zhou, PhD
Day 5: GenAI for Biological Sequences with Rohit Singh, PhD
Each day of the MLSS will be arranged as follows (Eastern Time):
9:00-10:15am, Lecture 1: Mathematically-light introduction to the focus of the day
10:45am-noon, Lecture 2: Mathematically rigorous discussion of the focus of the day
Afternoons beginning at 1:00pm: Coding sessions and case studies
Who Should Attend
The MLSS-GenAI is particularly well-suited to members of academia and industry, including students and trainees, who seek a thorough introduction to the methods of generative AI, including interpretation and commentary by respected leaders in the field.
The MLSS-GenAI is meant to provide value to students at multiple levels of mathematical sophistication (including with limited such background). On each day, an initial emphasis will be placed on presenting the concepts as intuitively as possible, with minimum math and technical details. As the concepts are developed further, more math will be introduced, but only the minimum necessary to explain the concepts. Then case studies will show how the technology is used in practical generative AI applications, and these discussions should be accessible to most students (concepts emphasized over detailed math). Strength in mathematics and statistics is a significant plus and will make all MLSS-GenAI material more accessible; however, it is not required to benefit from much of the program. Finally, the class will also introduce participants to the coding software used to make such technology work in practice.
Learn more at https://aihealth.duke.edu/2025-mlss/
Ludovico Montalcini
8th Advanced Course on Data Science & Machine Learning - ACDL 2025
From Deep Learning to Generative AI
Riva del Sole Resort & SPA - Tuscany, Italy, June 9-13, 2025
https://acdl2025.icas.events
ac...@icas.cc
* Late REGISTRATION: by May 23 (AoE)*
https://acdl2025.icas.events/registration/
Oral Presentation Submission Deadline: by May 23 (AoE)
LECTURERS: https://acdl2025.icas.events/lecturers/
Each Lecturer will hold up to four lectures on one or more research topics.
ACDL 2025 Schedule:
https://acdl2025.icas.events/wp-content/uploads/sites/30/2025/04/ACDL-2025-Schedule.pdf
Sanjeev Arora, Princeton University & Institute for Advanced Study, USA
Sander Dieleman, Google DeepMind London, UK
Caglar Gulcehre, EPFL, Switzerland
Tatsu Hashimoto, Stanford University & Institute for Human-Centered Artificial Intelligence, USA
Thomas Hofmann, ETH Zurich, Switzerland
Subbarao Kambhampati, Arizona State University, USA
Joel Z. Leibo, Google DeepMind London & The Alan Turing Institute, UK
Lei Li, Language Technology Institute - Carnegie Mellon University, USA
Panos Pardalos, University of Florida, USA
Bryan Perozzi, Google Research, New York, USA
Raniero Romagnoli, Almawave, Italy
Liubov Tupikina, Bell Labs Paris, France
More Lecturers TBA
Lecturers: https://acdl2025.icas.events/lecturers/
Lectures: https://acdl2025.icas.events/lectures/
ACDL Schedule:
https://acdl2025.icas.events/program/
https://acdl2025.icas.events/wp-content/uploads/sites/30/2024/12/ACDL-2025-Schedule.pdf
PAST LECTURERS:
https://acdl2025.icas.events/past-lecturers/
VENUE:
https://acdl2025.icas.events/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
e: booking...@rivadelsole.it
w: https://www.rivadelsole.it/en/
PAST EDITIONS: https://acdl2025.icas.events/past-editions/
REGISTRATION: https://acdl2025.icas.events/registration/
CERTIFICATE & 8 ECTS:
The 8th Advanced Course on Data Science & Machine Learning – ACDL 2025 is a full-immersion five-day Course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Post-Docs, junior academics (only up to assistant professors), early career researchers, and industry leaders (and highly motivated, promising and brilliant Master students / BSc students). Participants will also have the chance to present their results with talks, and to interact with their colleagues, in a convivial, professional and productive environment.
PhD students, PostDocs, Industry Practitioners and Junior Academics (only up to assistant professors) will be typical profiles of the ACDL attendants. The Course will involve a total of 36–40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated Master Student – BSc Student) attending the Course.
Please check the FAQ: https://acdl2025.icas.events/faq/
Language: English.
To participate in the ACDL 2025, all attendants must
(1/2) register for the course (by May 23) and
(2/2) book accommodation at the course venue, “Riva del Sole Resort & SPA” (by May 23); all attendants must stay at the “Riva del Sole Resort & SPA”. Booking accommodation at the Riva del Sole must be made exclusively using the accommodation form attached to the registration confirmation email. No other methods must be used (if you use other booking methods the hotel will cancel the reservation). Finally, it is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, no exceptions will be made. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking...@rivadelsole.it
Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (ac...@icas.cc).
ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( booking...@rivadelsole.it ) the name, surname and email address. Otherwise the solution is to book a hotel room in single use.
Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking.
Anyone interested in participating in ACDL 2025 should register as soon as possible.
See you in Riva del Sole & SPA - Tuscany in June!
ACDL 2025 Organizing Committees.
ACDL 2025 Schedule:
https://acdl2025.icas.events/wp-content/uploads/sites/30/2025/04/ACDL-2025-Schedule.pdf
https://acdl2025.icas.events
ac...@icas.cc
https://www.linkedin.com/groups/10048467/
https://x.com/TaoSciences
https://www.facebook.com/groups/204310640474650
Obviously, this is only a Call for Participation, to have complete and updated information we recommend you access the relevant website: https://acdl2025.icas.events
* Apologies for multiple copies. Please forward to anybody who might be interested, thanks! *