CERN Accelerating science

Academic Training Lectures

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2022-05-17
12:32
Your privacy – where has it gone, and will it be back? / Nowak, Andrzej (speaker)
b'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 - 1:06:27. 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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2022-05-13
18:01
REMOTE - Distributed computing - A historical perspective - The Network(s) / Segal, Ben (speaker)
b'NB!! Internet father Vint Cerf and Web inventor Sir Tim Berners-Lee will honour us with their presence!\r\n\r\nThis lecture:\r\n\r\nHow trying to solve a straightforward problem - sharing computer data at CERN in the 1980’s - involved us unexpectedly with economic, political and social issues. A study of disruption at CERN and beyond.\r\n\r\nThis series:\r\n\r\nAfter the ARPANET (Advanced Research Projects Agency Network) began in 1969, leading to the TCP/IP protocol development in the USA, a period of intense network competition began between continents and companies [...]
2022 - 1:02:42. Academic Training Lecture Regular Programme, 2021-2022 External link: Event details In : REMOTE - Distributed computing - A historical perspective - The Network(s)

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2022-05-11
10:23
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
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
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
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
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
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
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
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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