Inês Lynce is one of the scientists honored in the book “Women in Science”
Ciência Viva launched today, March 8, International Women’s Day, the book Women in Science (“Mulheres na Ciência”) where pays tribute to Portuguese women scientists.
The third edition of this book brought together 101 new faces and testimonies of women who work in research in our country, photos captured by Clara Azevedo, José Carlos Carvalho, Luís Filipe Catarino and Rita Carmo.
The first edition was launched in 2016 and the second in 2019. In each edition, more than a hundred women are honored, whose work has been fundamental to Science and Technology’s progress in Portugal in recent decades.
Inês Lynce, President of INESC-ID, is one of the ten women in Engineering who are presented in this 2021 edition.
“It is a great honor for me to be selected to be part of this initiative, which, on the one hand, extols the importance of science and technological development and, on the other hand, lives up to the role of women in this area where they are underrepresented. I am happy to be an example that can inspire young Portuguese girls to follow their path in this area. I am a woman and I am a computer engineer” said Inês Lynce about her participation in this book.
On the page dedicated to Inês Lynce in the book we can read:
” Solving problems is a fascinating challenge for me. I found in Computer Engineering a powerful and automatic approach to solving problems. Artificial intelligence added a creative and scientific way of putting a machine to work rationally. Research gave me the opportunity to come up with seas never sailed before. Teaching and mentoring students brought me the unique possibility of enhancing the ability and talent of the youngest. ” (Mulheres na Ciência, Ciência Viva, 2021)
[pt] “Resolver problemas é para mim um desafio fascinante. Encontrei na Engenharia Informática uma abordagem poderosa e automática para resolver problemas. A inteligência artificial acrescentou uma forma criativa e científica de colocar uma máquina a atuar racionalmente. A investigação deu-me a oportunidade de chegar a mares nunca de antes navegados. O ensino e orientação de alunos trouxeram-me a possibilidade única de potenciar a capacidade e o talento dos mais jovens.” (Mulheres na Ciência, Ciência Viva, 2021)
Fotografia: Luís Filipe Catarino
See all the participants at https://www.cienciaviva.pt/mulheresnaciencia/terceira-edicao
11th Lisbon Machine Learning Summer School
LxMLS 2021 will take place July 7th to July 15th in online format (via zoom and slack). It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), Unbabel and Cleverly.
Click here for information about past editions (LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020) and to watch the videos of the lectures (2016, 2017, 2018, 2020).
Call for Participation
* Application Deadline: May 15, 2021
* Decision: June 1, 2021
* Early Registration: June 15 – July 1, 2021
* Summer School: July 7 – 15, 2021
Topics and Intended Audience
The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.
Our target audience is:
- Researchers and graduate students in the fields of NLP and Computational Linguistics;
- Computer scientists who have interests in statistics and machine learning;
- Industry practitioners who desire a more in depth understanding of these subjects.
Features of LxMLS:
- No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming
- Lecturers are leading researchers in machine learning and natural language processing (see speakers)
- Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule)
- The Labs guide will be provided one month in advance. Last year’s guide can be found here
- A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
- Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning, reinforcement learning) will be covered
Due to the current COVID-19 pandemic, the 11th Lisbon Machine Learning School will be held online (via zoom and slack). Similar to last year, we are excited for the opportunity to create a virtual school, where you will be able to attend all the lectures, and participate in the Q&As and labs remotely. We will also provide the tools for students to engage with each other remotely. The lectures will also be streamed to YouTube, and will become freely available later in our YouTube channel. The Q&A, labs and social activities will remain restricted to the accepted students only.
List of Confirmed Speakers
LUIS PEDRO COELHO Fudan University | China
MÁRIO FIGUEIREDO Instituto de Telecomunicações & Instituto Superior Técnico | Portugal
ANDRE MARTINS Instituto de Telecomunicações & Unbabel | Portugal
IRYNA GULEYVICH Technical University Darmstat | Germany
NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA
SLAV PETROV Google Inc. | USA
XAVIER CARRERAS dMetrics | USA
GRAHAM NEUBIG Carnegie Mellon University | USA
BHIKSHA RAJ Carnegie Mellon University | USA
CHRIS DYER Google Deep Mind | UK
ELIAS BARENBOIM Columbia University | USA
ADELE RIBEIRO Columbia University | USA
STEFAN RIEZLER Institut für Computerlinguistik, Universität Heidelberg | Germany
BARBARA PLANK IT University of Copenhagen | Denmark
SASHA RUSH Cornell Tech | USA
Please visit the webpage for up to date information: http://lxmls.it.pt/2021
To apply, please fill the form in https://lisbonmls.wufoo.com/forms/application-form-lxmls-2021/
Any questions should be directed to: firstname.lastname@example.org.
International European Conference on Parallel and Distributed Computing
The 27th International European Conference on Parallel and Distributed Computing (Euro-Par 2021) will take from August 30 to September 3 2021 in Lisbon.
Euro-Par is the prime European conference covering all aspects of parallel and distributed processing, ranging from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-fledged applications, from architecture, compiler, language and interface design and implementation, to tools, support infrastructures, and application performance aspects.
The 2021 edition of Euro-Par will be organized as a collaboration between INESC-ID and Instituto Superior Técnico (IST).
– Abstract Submission: February 5, 2021
– Paper Submission Deadline: February 12, 2021
– Author Notification: April 30, 2021
– Camera-Ready Papers: June 6, 2021
More information is available here.