Conferences  >  Mathematics  >  Neural Networks and Artificial Intelligence, Machine Learning  >  United States

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1
EMS2023 — Learning and Emergence in Molecular Systems
23 Jan 2023 - 27 Jan 2023 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM)
Abstract:
For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Event listing ID:
1484129
2
Artificial Intelligence and Discrete Optimization
27 Feb 2023 - 03 Mar 2023 • Los Angeles, CA, United States
Organizer:
Institute for Pure and Applied Mathematics (IPAM), UCLA
Abstract:
In recent years, the use of Machine Learning techniques to Operations Research (OR) problems, especially in the Discrete Optimization (DO) a.k.a. Combinatorial Optimization context, opens very interesting scenarios because DO is the “home” of an endless list of decision-making problems that are of fundamental importance in multitude applications. The workshop will bring together experts in mathematics (optimization, graph theory, sparsity, combinatorics, statistics), operations research (assignment problems, routing, planning, Bayesian search, automation, scheduling), machine learning (deep learning, supervised, self-supervised and reinforcement learning) and artificial intelligence at large (including multi-agent systems, interpretability, fairness, etc.).
Event listing ID:
1501630
3
ODSCEAST — ODSC East 2023
09 May 2023 - 11 May 2023 • Boston, United States
Organizer:
Open Data Science Conference
Abstract:
ODSC East 2023 is a conference dedicated to the latest languages, tools, and frameworks in data science, AI, ML and DL.

Event lasts 3 days, including an extra day for the mini-bootcamp. Choose from in-person or virtual tracks based on your needs. Please be advised agendas are different for each tracks.

Accelerate your ML/DL, NLP and Data Engineering knowledge, training, and network all in one event. ODSC is community-based event and everyone can find something useful and interesting for themselves.

If you need corporate team advance sales or looking for advance ticket purchases , email us at info@odsc.com

Contact:
Email: iryna@odsc.com
Topics:
Data Science, Machine Learning, AI
Event listing ID:
1518839
Event website:
4
Mathematical and Scientific Machine Learning
05 Jun 2023 - 09 Jun 2023 • Providence, Rhode Island, United States
Organizer:
ICERM
Abstract:
MSML2023 is the third edition of a newly established conference, with emphasis on promoting the study of mathematical theory and algorithms of machine learning, as well as applications of machine learning in scientific computing and engineering disciplines. This conference aims to bring together the communities of machine learning, applied mathematics, and computational science and engineering, to exchange ideas and progress in the fast-growing field of scientific machine learning (SciML).
Contact:
Program Staff;     Phone: [1-401-863-5030];     Email: programstaff@icerm.brown.edu
Topics:
The objective of this annual conference series is to promote the study of: Theory and algorithms of machine learning. Applications in scientific and engineering disciplines such as physics, chemistry, material sciences, fluid and solid mechanics, etc. To provide hands-on tutorials for students and new researchers in the field.
Event listing ID:
1503983
Related subject(s):
5
Summer Graduate School — Machine Learning
12 Jun 2023 - 23 Jun 2023 • University of California, San Diego, United States
Organizer:
Mathematical Sciences Research Institute (MSRI)
Abstract:
The overarching goal of this summer school is to expose the students both to modern forms of unsupervised learning — in the form of geometrical and topological data analysis — and to supervised learning — in the form of (deep) neural networks applied to regression/classification problems. The organizers have opted for a lighter exposure to a broader range of topics. Using the metaphor of a meal, we are offering 2 + 2 samplers — geometry and topology for data analysis + theoretical and practical deep learning — rather than 1 + 1 main dishes. The main goal, thus, is to inspire the students to learn more about one or several of the topics covered in the school.
Event listing ID:
1515706
6
Timescales of Plasticity and Underlying Mechanisms
10 Jul 2023 - 13 Jul 2023 • Santa Barbara, United States
Organizer:
UC Santa Barbara, Kavli Institute for Theoretical Physics (KITP)
Abstract:
A long-standing question in the neurobiology of learning is that of timescales. The brain can associate events that are separated by seconds, minutes, hours, days, weeks, or longer. Yet, the known biological mechanisms for inducing changes in the synaptic connections between neurons are driven by neural events that are separated by typically no more than a few tens or hundreds of milliseconds. This conference will convene scientists studying the molecular, cellular, and circuit-level mechanisms used by the brain to bridge the multiple timescales across which events play out in the experience of an individual. The goal will be to assemble an up-to-date understanding of the set of biological mechanisms available in the brain to support associative learning across different timescales. The conference's emphasis on biological mechanisms will complement and support the main program’s more computational focus, and encourage an integrated analysis of statistical learning spanning molecular, cellular, circuit, and behavioral-level phenomena.
Event listing ID:
1448570
Related subject(s):
7
Ai4 2023 — Ai4 2023
07 Aug 2023 - 09 Aug 2023 • Las Vegas, NV, United States
Organizer:
Fora Group
Abstract:
Over three days, Ai4 2023 gathers 1700+ business leaders and data practitioners and 250+ speakers to facilitate the responsible adoption of artificial intelligence and machine learning technology. Join us at the industry’s most impactful AI event.
Contact:
Customer Service;     Phone: [(929) 376-7732];     Email: info@ai4conferences.com
Topics:
artificial intelligence, machine learning, ai, ml, neural network, finance, healthcare, retail, cybersecurity, technology, tech
Event listing ID:
1522584
Event website:
8
ODSCWEST — ODSC West 2023
31 Oct 2023 - 03 Nov 2023 • Burlingame, United States
Abstract:
Are you ready to experience the leading data science & AI conference as it returns to San Francisco? Accelerate your career with hands-on training, demo talks, workshops, networking events, nine tracks, and more. The ODSC West in-person conference will feature expert-led, hands-on instruction in in-demand topics and tools, including: NLP | Python | Responsible AI | TensorFlow | PyTorch | Conversational AI | OpenAI | Cybersecurity | Data Visualization | scikit-learn | MLOps | Data Engineering | Machine Learning | and much more
Contact:
Email: iryna@odsc.com
Event listing ID:
1524963
Event website:


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Last updated: 21 November 2022