Meetings/Workshops on Neural Networks and Artificial Intelligence, Machine Learning in the United States (USA)

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AVWS1 — Workshop: Individual Vehicle Autonomy: Perception and Control
05 Oct 2020 - 09 Oct 2020 • Los Angeles, California, United States
This workshop will bring together researchers working on the theoretical sides of deep learning techniques for perception and control of automated vehicles with researchers interested in assuring these autonomous systems operate with safety guarantees. Moreover, experts in sensing and imaging technology will be brought to the table, to cover the full pipeline from the collection of the data, over the AI theory and development, all the way to the software and actuation challenges. Additional themes addressed in this workshop include interactions between vehicle sensing and the infrastructure, and cybersecurity aspects related to sensing and machine learning (how to purposefully mislead sensors and AI).
Part of the Long Program Mathematical Challenges and Opportunities for Autonomous Vehicles
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IROS — IEEE/RSJ International Conference on Intelligent Robots and Systems
25 Oct 2020 - 29 Oct 2020 • Las Vegas, United States
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ODSC West 2020
27 Oct 2020 - 30 Oct 2020 • Online, United States
ODSC West 2020 is going virtual! We’re thrilled to be hosting our third virtual conference October 27th-30th. Featuring 100+ hands-on training sessions and workshops, 240 speakers, and 320 hours of content, ODSC West Virtual Conference is the perfect opportunity to gain new in-demand skills and network with your peers and our renowned speakers wherever you are. Get your pass today to save 70% on your ticket to ODSC West Virtual Conference.
Phone: [+1 510 984 8238];     Email:
Data Science, Artificial Intelligence, Machine Learning
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SEG Research Workshop: Data Analytics & Machine Learning for Exploration & Production
15 Mar 2021 - 18 Mar 2021 • Denver, Colorado, United States
SEG - Society of Exploration Geophysicists
The most significant contribution of this event is the Emergence of the utilization of data analytics and machine learning for geoscience. This workshop is designed to showcase the successes and challenges of practicing machine learning and data analytics in the geoscience domain to improve accuracy and efficiency of algorithms and/or workflows. For example, in addition to existing applications such as seismic geobody identification and well log data analysis, what other challenging geoscience problems can be formulated and solved effectively by machine learning? How can machine learning algorithms and workflows be tailored to meet the specific physical constraints of geoscience data? How can we fully exploit the power of machine learning and physics-based approaches?
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Searches and Machine Learning Meet the Precision Frontier
12 Apr 2021 - 15 Apr 2021 • UC Santa Barbara, United States
Kavli Institute for Theoretical Physics (KITP)
The Large Hadron Collider (LHC) is the world’s facility for probing fundamental physics at the electroweak scale and well beyond. As it enters a new phase of extended data accumulation, two broad challenges emerge: how to fulfill the potential for percent-level precision with the large dataset, and how to maximise the information that can be extracted from each event about the underlying scattering process, in particular with machine learning. Solving these problems will have an impact across a wide range of physics topics: establishing the properties of the newly discovered interactions of the Higgs sector and understanding electroweak symmetry breaking, enhancing the sensitivity of searches for physics beyond the Standard Model (BSM), and precision measurements of a range of fundamental parameters in the Standard Model.
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Gordon Research Conference — Bioelectronics
06 Jun 2021 - 11 Jun 2021 • Proctor Academy, Andover, NH, United States
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1318266 offers, as part of its business activities, a directory of upcoming scientific and technical meetings. The calendar is published for the convenience of conference participants and we strive to support conference organisers who need to publish their upcoming events. Although great care is being taken to ensure the correctness of all entries, we cannot accept any liability that may arise from the presence, absence or incorrectness of any particular information on this website. Always check with the meeting organiser before making arrangements to participate in an event!

Last updated: 19 June 2020