Event type: Other

The CMU Portugal Program, supported by Fundação para a Ciência e a Tecnologia (FCT), will sign on April 9th at 2pm, an agreement with NOVA Medical School and the Nova School of Business and Economics (Nova SBE) to launch the CMU Portugal Patient Innovation Accelerator. 

This joint Accelerator represents a significant milestone in the healthcare innovation landscape in Portugal, aiming to boost advanced healthcare solutions and foster entrepreneurship in the sector. The Patient Innovation (PI) platform was created in 2014 as the result of CMU Portugal project TEIPL, a Entrepreneurial Research Initiatives (ERIs) launched in 2013.

The Patient Innovation Bootcamp is an acceleration program currently underway and funded by EIT Health is held in Lisbon, Barcelona, and Copenhagen and coordinated by Nova SBE and NOVA Medical School in partnership with Copenhagen Business School, IESE Business School, BioCat.

This year the PI Bootcamp will be held in partnership with CMU Portugal. After the bootcamp, participating startups will advance to an additional acceleration phase, during which they will receive support to expand and develop their businesses at Carnegie Mellon University in Pittsburgh, USA.

Following the signature event, the first initiative resulting from this collaboration protocol will be the participation of CMU Portugal in the celebration of the second anniversary of the Haddad Entrepreneurship Institute at Nova SBE, on April 10, 2024, at 5pm.

The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico, with CMU support. LxMLS 2024 will be a 6-day event, scheduled to take place from July 11th to the 17th as an in-person event.

This event is addressed to researchers and graduate students in the fields of NLP and Computational Linguistics, computer scientists (interested in statistics and machine learning), industry practitioners who desire a more in-depth understanding of these subjects.

The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico,  the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.

The deadline for registrations is April 26th and the application form is available here.

The LxMLS counts with several CMU Portugal Faculty members and alumns. André Martins is a CMU Portugal Alum, currently working as VP of AI Research at Unbabel, a CMU Portugal Industrial Affiliated company; Zita Marinho, is a Research Scientist at DeepMind and a Dual Degree Ph.D. alumna in Computer Science/Robotics (Técnico I CMU Robotics Institute); Isabel Trancoso, CMU Portugal Faculty & Researcher (Técnico I INESC ID) will be part of the steering Committee joining Fernando Pereira, member from the CMU Portugal External Review Committee, and the Google (USA) Vice President and Engineering Fellow.

The event will count with Carnegie Mellon University faculty Bhiksha Raj, from the Language Technologies Institute of Carnegie Mellon University, who was already part of the LxMLS 2023’s edition and participating for the first time,  Albert Gu, Assistant Professor at the Machine Learning Department.

—————————–

Important Dates:

• Application Deadline: April 26th
• Notification of Admission: May 6th
• Early registration: June 28th
• Late registration: July 5th
• Summer School: July 11th-17th

More information is available on the LxMLS 2024 website.

The CMU Portugal Program is organizing a Welcome Back event on September 19th addressed to all students spending this next semester in Pittsburgh. This is a grab and go event where students may stop by to grab coffee, donuts and fruit in the morning between 9:00-11:00 am.

This networking event intends to foster a supportive community of Ph.D. candidates while providing participants the opportunity to connect and share experiences with their peers who are also on campus. 

The Program currently has 23 active students attending the Fall semester at Carnegie Mellon, and anticipates 22 visiting students and faculty later in the semester. 

The 2023 edition of the Lisbon Machine Learning Summer School (LxMLS 2023) will take place between July 14th and July 20th at the Congress Center of Instituto Superior Técnico. For the third year, the CMU Portugal Program proudly associates with this yearly reference event with over one decade of existence. 

The LxMLS 2023 covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing (NLP) problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (Técnico), Instituto de Telecomunicações (IT) , Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), and Unbabel, Zendesk, and IBM Research, with the support of the CMU Portugal Program.

The deadline for applications is April 28th, 2023, and the application form is available online.

Among the invited speakers and Instructors are CMU Portugal Faculty members from IT/Técnico (Universidade de Lisboa) André Martins and Mário Figueiredo, who are also the main organizers. André is also a CMU Portugal Alum currently working as VP of AI Research at Unbabel, a CMU Portugal Industrial Affiliate company.

From Carnegie Mellon University, the event will count on CMU Portugal faculty member Bhiksha Raj, from the Language Technologies Institute. 

As an organizer of this year’s edition is Zita Marinho, Research Scientist at DeepMind and a Dual Degree Ph.D. alumna in Computer Science – Robotics at Técnico and CMU Robotics Institute.

As part of the steering Committee are Isabel Trancoso, CMU Portugal Faculty & Researcher, and Fernando Pereira from Google and a CMU Portugal External Review Committee member. 

More about the School Schedule and Instructors is available on the LxMLS 2023 website.

Other useful information:

Important Dates
—————
* Application Deadline: April 28, 2023
* Notification of Admission: May 12, 2023
* Early registration: May 12 – June 30, 2023
* Summer School: July 14 – 20, 2023

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.

The 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;
* 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 is
available on the website.
* The first day 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 and transformers) will be covered
* Welcome reception, Banquet, daily lunch as well as morning and afternoon
coffee breaks are included in the application fee
* Lecturers are leading researchers in machine learning and natural language
processing

List of Confirmed Speakers
—————

• ADÈLE H. RIBEIRO Columbia University | USA 
• ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal 
• BHIKSHA RAJ Carnegie Mellon University | USA
• DESMOND ELLIOTT University Of Copenhagen | Denmark 
• KYUNGHYUN CHO New York University | USA 
• MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal 
• NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA 
• SARA HOOKER Cohere for AI |Canada 
• SLAV PETROV Google Inc. | USA 
• WILKER AZIZ University Of Amsterdam | Netherlands 
• YEJIN CHOI University of Washington | USA

Any other questions should be directed to: lxmls-2023@lx.it.pt.

Horizon Europe (HE) has as one of its main objectives to increase the innovation of European companies and facilitate the transformation of knowledge produced in Europe into competitive advantages, translated into social and economic impact. In the case of Portugal, there is a challenge in this most recent European framework programme, to increase national participation with a particular focus on the companies, also aiming  to double the number of participations by national companies.

To achieve this goal, involving and interacting with national stakeholders in promoting initiatives to increase participation in Horizon Europe is essential. In this context, developing a strategy for closing gaps and capacitating the actors is necessary, raising the community’s awareness of Horizon Europe.

Agenda

10h00: Horizon Europe – Funding opportunities for collaborative R&D projects – Marta Pinto (ANI)
10h40: Discussion, Q&A
11h00: Funding opportunities in innovation and networks – João Ribau (ANI)
11H40: Discussion, Q&A
12H00: Closing

This year’s edition of ESSIR, a 5-day teaching event on Information Retrieval (IR) and related research topics, will take place between 18-23 July 2022. The event is organized by NOVA LINCS (FCT UNL), INESC ID and Universidad Autónoma de Madrid with the support of the CMU Portugal Program and BCS, the Chartered Institute for IT.

The event will also incorporate the new edition of the Symposium on Future Directions in Information Access (FDIA), which will provide a forum for early researchers to present their research in a friendly environment, while among senior researchers.

The summer school is addressed to students, Master’s students, Ph.D. Researchers, Industry and Academia practitioners. No deep previous knowledge of IR or ML is required, but the attendants are assumed to have some basic computer science and mathematics background.

The Summer School will be held at the Faculty of Social and Human Sciences (FCSH) of the Universidade Nova de Lisboa.

The early registration deadline is June the 15th, 2022, and the application form is available online at: http://essir2022.org/

About ESSIR and its Mission

The European Summer School in Information Retrieval (ESSIR) is held on a regular basis, providing high quality teaching of Information Retrieval (IR) and advanced IR topics to an audience of researchers and research students. The mission of the school is to enable students to learn about modern research challenges and methods in information retrieval and related disciplines; to stimulate scientific research and collaboration in these fields; and to grow a community of researchers, students, and industry professionals working on information retrieval with collaborations all around the world.

Important dates:

• Early Registration Deadline: June 15th
• Late Registration Deadline: July 15th
• Summer School: July 18-23

List of Instructors and Schedule

The 2022 Lisbon Machine Learning Summer School (LxMLS 2022) will take place between July 24th and July 29th at the Congress Center of Instituto Superior Técnico. For the second year, CMU Portugal proudly associates with this yearly reference event.

The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing (NLP) problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (Técnico), Instituto de Telecomunicações, Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), and Unbabel, with the support of the CMU Portugal Program.

This year’s edition returns as an in-person 6-day event after two years online due to Covid restrictions.

The deadline for applications is May 15th, 2022, and the application form is available online.

More about the School Schedule and Instructors available on the LxMLS 2022 website.

Other useful information:

Important Dates
—————
* Application Deadline: May 15, 2022
* Decision: June 1, 2022
* Summer School: July 24 – 29, 2022

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.

The 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;
* Days are divided into morning lectures and afternoon lab sessions and practical talks;
* The guide for the labs will be provided one month in advance. You can check here the guide used in previous editions.
* A day zero is scheduled to review basic concepts and introduce the necessary tools for implementation exercises
* Lecturers are leading researchers in machine learning and natural language processing

Any other questions should be directed to: lxmls-2022@lx.it.pt.