2022-05-11
10:23 |
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A General Introduction to Machine Learning (whenever possible with a twist towards accelerators)
/ Adelmann, Andreas (speaker) (PSI)
Abstract:
This module will give an overview of Machine Learning (ML) and its methodologies and examples of applications. As an hors d'oeuvre, we will make a transition from statistics to machine learning using regression models. Then we will discover the beauty and power of deep neural networks - one of the most flexible approaches to supervised learning. Unsupervised Learning will free us from labeled data, as an application we look at clustering. The last method we will discover is reinforcement learning. [...]
2022 - 1:03:23.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : A General Introduction to Machine Learning (whenever possible with a twist towards accelerators)
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2022-05-09
14:51 |
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REMOTE: Machine Learning for the LHC and future machines: applications for simulations and operation
/ Valentino, Gianluca (speaker) (University of Malta (MT))
Abstract
At the CERN Large Hadron Collider (LHC), several ML applications were actively pursued in view of assessing their potential benefits before making them an integral part of the accelerator operations and controls. These applications range from anomaly detection to pattern recognition and advanced data analysis. [...]
2022 - 1:00:52.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : REMOTE: Machine Learning for the LHC and future machines: applications for simulations and operation
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2022-05-09
13:22 |
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REMOTE: Accelerator control with advanced algorithms and Machine Learning
/ Kain, Verena (speaker) (CERN)
Abstract:
The CERN accelerators generally use a modular control system to deal with the resulting complexity of hundreds or thousands of tuneable parameters. Low level hardware parameters are combined into higher level accelerator physics parameters defined by simulation results [...]
2022 - 1:23:06.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : REMOTE: Accelerator control with advanced algorithms and Machine Learning
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2022-05-06
15:34 |
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REMOTE: Applications of computer vision and forecasting to the CERN accelerators
/ Velotti, Francesco Maria (speaker) (CERN)
Abstract:
The recent progress in computing and ad-hoc software has significantly simplified the access to machine learning techniques and numerical optimisation. In the LHC and its injector complex, a very diverse and inhomogeneous set of problems present the right observables types to be addressed with the classic or most cutting edge machine learning algorithms [...]
2022 - 1:05:01.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : REMOTE: Applications of computer vision and forecasting to the CERN accelerators
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2022-05-04
12:17 |
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A General Introduction to Machine Learning (whenever possible with a twist towards accelerators)
/ Adelmann, Andreas (speaker) (PSI)
Abstract:
This module will give an overview of Machine Learning (ML) and its methodologies and examples of applications. As an hors d'oeuvre, we will make a transition from statistics to machine learning using regression models. Then we will discover the beauty and power of deep neural networks - one of the most flexible approaches to supervised learning. Unsupervised Learning will free us from labeled data, as an application we look at clustering. The last method we will discover is reinforcement learning. [...]
2022 - 1:24:12.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : A General Introduction to Machine Learning (whenever possible with a twist towards accelerators)
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2022-04-28
16:37 |
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Your privacy – where has it gone, and will it be back?
/ Nowak, Andrzej (speaker)
In recent years, a lot has been said about privacy – the rights to it, related transgressions, reasons to worry. It seems like questions are multiplying at a high rate, but the answers are not [...]
2022 - 1:23:43.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : Your privacy – where has it gone, and will it be back?
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2022-04-27
16:10 |
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Your privacy – where has it gone, and will it be back?
/ Nowak, Andrzej (speaker)
In recent years, a lot has been said about privacy – the rights to it, related transgressions, reasons to worry. It seems like questions are multiplying at a high rate, but the answers are not [...]
2022 - 1:24:14.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : Your privacy – where has it gone, and will it be back?
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2022-04-21
15:19 |
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Mysteries in Flavour Physics
/ Isidori, Gino (speaker) (Universitaet Zuerich (CH))
Abstract:
In this lecture I will discuss the theoretical interpretation of the recent anomalies in semileptonic B decays in terms of physics beyond the Standard Model. The results will be analysed in a bottom-up approach, starting from a general Effective Theory analysis and then focusing on a few more ambitious ultraviolet completions of the Standard Model [...]
2022 - 1:27:55.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : Mysteries in Flavour Physics
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2022-04-08
09:36 |
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Mysteries in Flavour Physics
/ Pepe-Altarelli, Monica (speaker) (CERN)
Abstract:
I will detail the status and the tensions with respect to the Standard Model predictions emerging in studies of Lepton Flavour Universality, in both neutral current mediated b→s ℓ+ℓ– decays as well as in charged-current b→cτν decays, occurring at so called tree level. Finally, I will briefly discuss the search for lepton flavor violating b-quark decays.
Bio Monica Pepe-Altarelli:
Monica Pepe Altarelli joined the Rutherford Laboratory as Research Associate in the NA32 experiment on hadronic production of charmed particles at the CERN SPS accelerator. [...]
2022 - 1:02:27.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : Mysteries in Flavour Physics
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2022-04-07
15:06 |
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Living Well Within Planetary Limits: is it possible? And what can physicists contribute?
/ Steinberger, Julia K. (speaker) (Institute of Geography & Sustainability, Faculty of Geosciences & Environment, University of Lausanne )
Abstract:
This seminar will report on several streams of research within the “Living Well Within Limits” project. The Living Well Within Limits project investigates the energy requirements of well-being, from quantitative, participatory and provisioning systems perspectives [...]
2022 - 1:01:21.
Academic Training Lecture Regular Programme, 2021-2022
External link: Event details
In : Living Well Within Planetary Limits: is it possible? And what can physicists contribute?
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