* Seminars organized by the differente research groups:
- - Seminarios del Máster en Astrofísica: "Temas Avanzados en Astrofísica"
- - Seminarios de especialización - Doctorado en Astrofísica
- - Seminarios y Defensas de Tesis Doctorales - Doctorado en Astrofísica
Deep learning as a tool for scientific data analysis: Introduction and hands-on session
Daniel Nieto (GAE-UCM)
Location: Room 19, second floor
RSVP here (for a headcount): https://goo.gl/forms/YkvoLrmBjRKnM2qo1
Abstract: It"s been a while since we have had computers learn fromsci entific datasets to help squeezing the most out of our experimentsand astrophysical observatories. Nowadays, the "deep learning"revolution that is uplifting artificial intelligence to its next level is also permeating into the analysis of data from instruments as different as the LHC and LIGO, thus having an impact on fields from cosmology to particle physics. In this seminar we intend to a) present a brief introduction to deep learning for non-experts and give a quick overview on how various experiments and observatories are already exploiting this machine learning technique, and b) walk the attendants through a tutorial where they will learn the basics of how to build a simple deep-learning model and how to train it on their own laptops.
24 de octubre de 2017 - SEMINARIO Departamento de Física Atómica, Molecular y Nuclear, FAMN, Físicas, UCM
Título: "Physical properties of Gamma-Ray Blazars"
Conferenciante: Vaidehi S. Paliya, Clemson University, SC, USA
Hora: 15:00 h