Event type: Lectures

Hospital da Luz Learning Health is organizing a series of Seminars on Artificial Intelligence (AI) in Healthcare. The first session will take place on June 23 at 4:30 pm (Lisbon). This initiative is promoted under the scope of CMU Portugal Large Scale project IntelligentCare. 

Throughout this series of seminars, invited speakers will share their contributions and ideas on Advanced Analytics in Healthcare. The first session, “A blueprint of the AI-enabled hospital: Data, infrastructure, algorithms, and applications,” will have Jorge Cardoso as the speaker.

The Seminar will be held both onsite and online. Registration is free but mandatory.

The complete Program of the Series of Seminars is, and further information about the initiative is available.

On May 25 at 3pm will take place the  10th edition of the Distinguished Lecture of the Department of Computer Science and NOVA Laboratory for Computer Science and Informatics at FCT NOVA. Fernando Pereira is the invited speaker with the  lecture  “Does Language Mirror the Mind? A Personal Journey”.

Fernando Pereira is the Google (USA) Vice President and Engineering Fellow, and leader of natural language and machine learning projects  and  member of CMU Portugal External Review Committee.

The Distinguished Lecture will take place in the Main Auditorium of NOVA School of Science and Technology | FCT NOVA organized by the Department of Computer Science and NOVA Laboratory for Computer Science and Informatics led by Luis Caires, NOVA LINCS Director and CMU Portugal Scientific Director.

Lecture: Does Language Mirror the Mind? A Personal Journey

Over 20 years ago, I wrote the following in an invited paper:

Given the enormous conceptual and technical difficulties of building a comprehensive theory of grounded language processing, treating language as an autonomous system is very tempting. However, there is a weaker form of grounding that can be exploited more readily than physical grounding, namely grounding in a linguistic context. Following this path, sentences can be viewed as evidence for other sentences through inference, and the effectiveness of a language processor may be measured by its accuracy in deciding whether a sentence entails another, or whether an answer is appropriate for a question.

This path turned out to be even more productive than I imagined, though with different technical tools than the ones I favored then. So, is language-internal modeling all we need for creating language-using systems that pass the (Turing?) test? I will illustrate the question with a sequence of examples drawn from the work of many collaborators and colleagues, not answering it decisively, but still marveling at how so much of the contents and processes of our minds can be mechanically inferred from our constant chatter.

Fernando Pereira bio:

Fernando Pereira is Vice President and Engineering Fellow at Google, where he leads research and development in natural language understanding and machine learning.

His previous positions include chair of the Computer and Information Science department of the University of Pennsylvania, head of the Machine Learning and Information Retrieval department at AT&T Labs, and research and management positions at SRI International.

He received a Ph.D. in Artificial Intelligence from the University of Edinburgh in 1982, and has over 120 research publications on computational linguistics, machine learning, bioinformatics, speech recognition, and logic programming, as well as several patents.

He was elected AAAI Fellow in 1991 for contributions to computational linguistics and logic programming, ACM Fellow in 2010 for contributions to machine learning models of natural language and biological sequences, and ACL Fellow for contributions to sequence modeling, finite-state methods, and dependency and deductive parsing. He was president of the Association for Computational Linguistics in 1993.

“Protecting the Security of the AIDA platform and the Privacy of its Data” is the topic of the fourth session of the “AIDA Webinar Series”, an initiative promoted by the CMU Portugal project AIDA with CMU Portugal support. The Webinar will take place online on June 8 at 3pm (UTC +1) with José Flora, (University of Coimbra) and Cláudia Brito (INESC TEC and University of Minho) and Justine Sherry (Carnegie Mellon University) as moderator.

Summary Webinar #4: Software is not perfect, therefore it is expected that attacks may happen. AIDA is no exception, needing attention in this field, both for the security of the platform as for the privacy of the data subject whose data is being exposed and/or used. To achieve that, AIDA will be using state of the art security mechanisms, studied, and evaluated by the researchers of the project team, taking into account the new risks that rise from the migration to an Edge architecture and the employment of 5G.  This webinar has the main goal of presenting and explaining these issues within the AIDA platform, but also explain mechanisms of intrusion detection and tolerance used, as well as for monitoring and adaptation of the platform. Furthermore, it will also address how secure communications were achieved, never forgetting the privacy of the data subject and secure processing.

Registration to access the Zoom Webinar #4 is free but mandatory.

The “AIDA Webinar Series I Improving 5G Risk Management” will count with a total of five (5) Webinars held every two months from December 2021 to September 2022, gathering leading experts from academia to industry involved with the project.

For more information about this initiative and about the previous Webinars available at the AIDA Website.

The next and last Webinar of this Series will take place on September 30, 2022.

“Federated Learning: Methods, Applications and Challenges” is the topic of the third session of the “AIDA Webinar Series”, an initiative promoted by the CMU Portugal project AIDA with CMU Portugal support. The Webinar will take place online on April 20 at 3pm (UTC +1) with Paula Silva (Research Assistant at INESC TEC) as speaker and Nuno Antunes (Assistant Professor at University of Coimbra) as moderator.

Webinar #3 Summary: The last few years have been strongly marked by artificial intelligence, machine learning, and telecommunications networks. As a result, several challenges arose in data science regarding how data can be accessed and stored. For example, sharing of telecommunication network data, for example, even at high aggregation levels, is highly restricted nowadays due to privacy legislation and regulations and other critical ethical concerns. It leads to scattering data across institutions, regions, and states, inhibiting the usage of AI methods that could otherwise take advantage of data at scale.

Registrations are open. 

The “AIDA Webinar Series I Improving 5G Risk Management” will count with a total of five (5) Webinars held every two months from December 2021 to September 2022, gathering leading experts from academia to industry involved with the project.

For more information about this initiative and about the previous Webinars available at the AIDA Website.

The CMU Portugal Program and the coordination of the Large Scale Collaborative project AIDA will host between December 2021 and September 2022 a series of webinars on the improvement of 5G risk management. 

The “AIDA Webinar Series I Improving 5G Risk Management” will count with a total of five (5) Webinars held every two months, gathering leading experts from academia to industry involved with the project. More about this Webinar series here. 

The first Webinar will take place on December 7, 2021, at 3pm (UTC) and will be hosted by Carlos Martins and Pedro Fidalgo from the project’s leading company Mobileum and moderated by José Orlando Pereira (Senior Researcher at INESC TEC and Professor at UMinho).

Registration to the Webinar #1 is free but mandatory here.

Webinar #1 Summary: 5G presents an opportunity for telecom operators to capture new revenue streams from industrial digitization. The network evolution has opened up an abundance of new business opportunities for communication service providers (CSPs) in verticals such as industrial automation, security, health care, and automotive. Expanding non-telecom value chains, and supporting new business models through shared infrastrucuture, multiple stakeholders, open interfaces increases the complexity of delivery chains, attack vectors and consequently exposure to risk and fraud.

This webinar aims to discuss risk management as a platform that is able to protect the 5G ecosystem in its multiple layers, and deploy an Integrated Risk Management strategy that manages high data volumes, real time visibility through local edges, ensuring  system-wide intrusion detection, tampering protection, confidentiality and data privacy, protecting the ecosystem and value chain.

For more information visit the AIDA Website.