recid:2809196 - Resultados da pesquisa

Página principal > Resultados da pesquisa: recid:2809196

Pesquisar colecções:

Ordenar por:	Display results:	Output format:

CERN Document Server	2,040 records found 1 - 10 jump to record:	Search took 0.42 seconds.

(100)

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 - 3803. 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)

Registo detalhado - Registos similares

(91)

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 - 5052. 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)

Registo detalhado - Registos similares

(7)

Introduction to Machine Learning / Kagan, Michael Aaron (speaker) (SLAC National Accelerator Laboratory (US))
Abstract: Machine learning, which builds on ideas in computer science, statistics, and optimization, focuses on developing algorithms to identify patterns and regularities in data, and using these learned patterns to make predictions on new observations. Boosted by its industrial and commercial applications, the field of machine learning is quickly evolving and expanding. Recent advances have seen great success in the realms of computer vision, natural language processing, and broadly in data science. [...]
2019 - 4948. CERN openlab Summer Student programme 2019 External link: Event details In : Introduction to Machine Learning

Registo detalhado - Registos similares

(6)

Accelerating Discovery to Solve Grand Challenges / Gil, Dario (speaker) (Senior Vice President and Director of IBM Research)
For the last 60 years, the world of computing has been dominated by binary bits representing the intersection of information and mathematics. We have constantly pushed the boundaries of computation in this paradigm, with innovations in semiconductors reducing energy or increasing performance to enable more sophisticated calculations. [...]
2021 - 3613. CERN Computing Colloquium External link: Event details In : Accelerating Discovery to Solve Grand Challenges

Registo detalhado - Registos similares

(5)

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 - 3652. 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

Registo detalhado - Registos similares

(5)

Computer security in 2022 / Lueders, Stefan (speaker) (CERN)
Abstract: This presentation shall take a look at the common pitfalls when developing software or deploying computing services to the world. Attackers are on the prowl finding the usual misconfigurations, errors or blunders in such software and hardware and try to exploit them for their evil deeds. [...]
2022 - 5968. Lecture programme External link: Event details In : Computer security in 2022

Registo detalhado - Registos similares

(5)

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 - 3901. Academic Training Lecture Regular Programme, 2021-2022 External link: Event details In : REMOTE: Applications of computer vision and forecasting to the CERN accelerators

Registo detalhado - Registos similares

(5)

Poincaré Embeddings for Learning Hierarchical Representations / Nickel, Maximilian (speaker) (Facebook)
Abstracts: Representation learning has become an invaluable approach for learning from symbolic data such as text and graphs. However, while complex symbolic datasets often exhibit a latent hierarchical structure, state-of-the-art methods typically do not account for this property. [...]
2018 - 3732. EP-IT Data science seminars External link: Event details In : Poincaré Embeddings for Learning Hierarchical Representations

Registo detalhado - Registos similares

(5)

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 - 4986. Academic Training Lecture Regular Programme, 2021-2022 External link: Event details In : REMOTE: Accelerator control with advanced algorithms and Machine Learning

Registo detalhado - Registos similares

10.

(5)

Quantum computing hands-on / Crognaletti, Giulio (speaker)
Abstract In this hands-on session a general introduction to the Pennylane python framework for quantum computing will be given, with particular focus on the practical implementation and simulation of basic quantum circuits. Bio Giulio is a PhD student in Physics at the University of Trieste, specializing in quantum computing, with a particular interest in the trainability of variational quantum algorithms and quantum machine learning..
2024 - 2176. CERN openlab summer student lecture programme; Introduction to Quantum Computing, Quantum Machine Learning and Optimization External links: Talk details; Event details In : Introduction to Quantum Computing, Quantum Machine Learning and Optimization

Registo detalhado - Registos similares

Haven't found what you were looking for? Try your search on other servers:
recid:2809196 em Amazon recid:2809196 em CERN EDMS recid:2809196 em CERN Intranet recid:2809196 em CiteSeer recid:2809196 em Google Books recid:2809196 em Google Scholar recid:2809196 em Google Web recid:2809196 em IEC	recid:2809196 em IHS recid:2809196 em INSPIRE recid:2809196 em ISO recid:2809196 em KISS Books/Journals recid:2809196 em KISS Preprints recid:2809196 em NEBIS recid:2809196 em SLAC Library Catalog

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science