The Priberam Machine Learning Lunch Seminars are a series of informal meetings which occur every two weeks at Instituto Superior Técnico, in Lisbon. It works as a discussion forum involving different research groups, from IST and elsewhere. Its participants are interested in areas such as (but not limited to): statistical machine learning, signal processing, pattern recognition, computer vision, natural language processing, computational biology, neural networks, control systems, reinforcement learning, or anything related (even if vaguely) with machine learning.

The seminars last for about one hour (including time for discussion and questions) and revolve around the general topic of Machine Learning. The speaker is a volunteer who decides the topic of his/her presentation. Past seminars have included presentations about state-of-the-art research, surveys and tutorials, practicing a conference talk, presenting a challenging problem and asking for help, and illustrating an interesting application of Machine Learning such as a prototype or finished product.

Presenters can have any background: undergrads, graduate students, academic researchers, company staff, etc. Anyone is welcome both to attend the seminar as well as to present it. Ocasionally we will have invited speakers. See below for a list of all seminars, including the speakers, titles and abstracts.

Note: The seminars are held at lunch-time, and include delicious free food.

Feel free to join our mailing list, where seminar topics are announced beforehand. You may also visit the mailing list webpage. Anyone can attend the seminars. If you would like to present something, please send us an email.

The seminars are usually held every other Tuesday, from 1 PM to 2 PM, at the IST campus in Alameda. This sometimes changes due to availability of the speakers, so check regularly!

Tuesday, February 20th 2018, 13h00 - 14h00

Frederico Muñoz (IBM)

Data Science, Machine Learning and AI: an IBM perspective


Instituto Superior Técnico - Alameda


Since the first perceptron was implemented in an IBM 7042 to the success of Deep Blue against a human opponent and, more recently, IBM Watson's victory on Jeopardy!, IBM has been intimately involved with the advancement of cognitive systems. With IBM Research exploring artificial intelligence and machine learning for decades the results are not limited to crucial theoretical advancements but exist as ready-to-use solutions that can be used by anyone in a variety of scenarios.

In this talk we will briefly review the road that has lead us to the current artificial intelligence boom and do a hands-on exploration of the portfolio of tools that IBM offers, from cognitive APIs that do visual recognition and text-to-speech to the Watson Data Platform for end-to-end data analysis, from well-known solution like SPSS to the integration of open toolkits with Data Science Experience and Watson Machine Learning.


Bio: Frederico Muñoz is an IBM Chief Architect with a diverse experience that includes Enterprise Architecture, programming and solution design. In recent years he has been increasingly active in projects that touch Smarter Cities, the Internet of Things and the development of cognitive solutions, both using IBM Watson technology and also the more general ecosystem that exists in terms of data science and machine learning. He is a member of the SPGI Technical Expert Council, studied Physics and holds a BA in Archaeology from the University of Lisbon.

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