INESC-ID Awards 2020
The INESC-ID Awards 2020 symbolic ceremony took place on February 23, during the 20th Scientific Council Plenary Meeting, an entirely online event. Miguel Pupo Correia, Rui Henriques and Miguel Terra Neves were the big winners, who saw their work recognized. Winners 2020 Researcher: Miguel Nuno…
Professor Moisés Piedade is honored by INESC-ID with the title of Emeritus Researcher
Today, February 23th, INESC-ID, within the scope of its 20th Scientific Council Plenary Meeting, awarded the title of Emeritus Researcher to Professor Moisés Piedade. A recognition and tribute for his work and the dedication of a lifetime to Teaching, Researching and his contribution to…
Project to detect COVID-19 from coughs and speech
What if it was possible to detect whether someone has COVID-19 or not, just from the sounds of their coughing or talking? It sounds like science fiction, but it may soon come true. This is the goal of the project “Detecção de COVID-19 a partir…
Artificial Intelligence for COVID-19 chest X-ray diagnosis
The DeepPathCOVIDx project will allow to develop of a solution that will assist healthcare professionals in the analysis of chest X-ray images. A team of researchers from Técnico and INESC-ID, in collaboration with Hospital da Luz Learning Health, is developing a solution consisting of AI…
New Book by the INESC-ID researcher Andreas Wichert and his PhD student Luís Sá-Couto
World Scientific just published the work “Machine Learning — A Journey to Deep Learning”, written by INESC-ID researcher Andreas Wichert and his PhD student Luís Sá-Couto. This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives…
Arlindo Oliveira is one of the new members of STOA International Advisory Board
Arlindo Oliveira, President of INESC and Researcher at INESC-ID was invited to be one of the new members of the STOA (European Parliament Panel for the Future of Science and Technology) Advisory Board. “The European Parliament panel for the future of science and technology will…
Nine INESC-ID researchers are among the most cited top scientists in the world
Nine INESC-ID researchers are among the most cited top scientists at the top 2% of their respective areas. Portugal is represented in this list compiled by Stanford University with 385 scientists affiliated to several national institutions. The rankings are based upon a researcher’s citations for…
João Madeiras Pereira is a new senior member of ACM
João Madeiras Pereira was nominated Senior Member of the ACM – Association for Computing Machinery. As mentioned by the Senior Member Committee “we are delighted that you will be among the inductees honored with this designation and wish to congratulate you on this well-deserved recognition”.
IObundle IP at 2020 Design&Reuse top10
IOb-SoC is a System-on-Chip template equipped with a CPU, a memory system and a serial communications module. By democratising the use of CPUs in electronic design, IOb-SoC is at the forefront of enabling powerful AI and machine learning algorithms in all sorts of electronic equipments,…
Researchers team on top 5 in International Timetabling Competition
The 4th edition of the International Timetabling Competition took place during the last year and brought together researchers and enthusiasts from 57 countries to solve complex scheduling problems. From all the participants, only 15 teams managed to solve the competition instances, among which is a…
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: email@example.com.
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.