* Seminarios y Conferencias Facultad C.C. Físicas


* Seminars organized by the differente research groups:

Seminarios de Astrofísica:


Seminarios de Física Teorica


- Seminarios de FAMN


Deep learning as a tool for scientific data analysis: Introduction and hands-on session

Daniel Nieto (GAE-UCM)

Date: 17/05/2018
      15:00 - 16:00: Introduction session
      16:00 - 17:00: Hands-on session

Location: Room 19, second floor

RSVP here (for a headcount):

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.

Note: For the hands-on session we will be using the TensorFlow machin elearning framework. Please bring your own laptop loaded with a working installation of TensorFlow if you plan to participate in this activity.

The installation of TensorFlow is quite simple. A summarized set of instructions can be found here (recommended):

The official instructions can be accessed here:


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
Lugar: Seminario del dpto. FAMN: 3ª Pl, 218.A de la Facultad de Físicas, UCM