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”.
INESC-ID President Inês Lynce is also the new National Co-Director of CMU Portugal Program
Inês Lynce was appointed on January 27th as co-director of the CMU Portugal Program by Fundação para a Ciência e Tecnologia (FCT). The Associate Professor with habilitation at Instituto Superior Técnico and Presidente of INESC-ID assumes the national co-direction of the international partnership alongside Nuno…
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,…
Alumnus Paulo Martins received the Cor Baayen Young Researcher Award
Paulo Martins was awarded an honorable mention “Cor Baayen Young Researcher Award”, by the European Research Consortium for Informatics and Mathematics (ERCIM). Paulo Martins finished his PhD in 2019 “Arithmetic and Algorithms for Emerging Cryptography” under the guidance of Leonel Sousa at INESC-ID and currently…
QualiChain: Blockchain for education and employment qualifications
INESC-ID is one of the ten partners of Qualichain, a European project focused on the assessment of the implications at technical, political, socio-economic, legal and cultural levels of Blockchain technology for verifying education and employment qualifications. Also, QualiChain specifies in the “impact – in terms…
Speech Processing and Machine Learning Workshop
The second training event of the TAPAS Consortium will take place in Lisbon from 11-14 February. This training event will cover four topics related to speech processing and machine learning. Each day will have a morning session with relevant lectures on the topic, followed by…
Candidatura a projetos de IA para a modernização da administração pública
Candidaturas abertas no âmbito do Sistema de Apoio à Transformação Digital da Administração Pública “INTELIGÊNCIA ARTIFICIAL E CIÊNCIA DOS DADOS” São elegíveis acções de promoção e divulgação de iniciativas com vista à disseminação de melhores práticas e partilha de conhecimento de novas formas de organização…
Armilar and the Tech-Transfer Fund: investing in high-growth tech-based startups
On January 31st at 2.30pm at INESC-ID Alameda (room 336), took place a 30 minutes presentation (plus Q&A) by Armilar Venture Partners. Armilar Venture Partners (formerly known as Espírito Santo Ventures), is an independent VC fund manager of more than 200 million euros of assets, represented…
“Managing long-term digital information” in Expresso newspaper
INESC-ID Reseacher José Borbinha was interviewed for an article about managing digital information in the long term. This contribution comes in line with his coordination responsibilities in the construction of the European eArchiving Building Block, in the scope of the CEF Programme: https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/eArchiving https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/CEF+Digital+Home
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.