Homepage of Armando Vieira

Professor, Entrepreneur, Data Analyst and Scientist

My presentation at EARL conference, London 2015:

  • My researh

    Armando Vieira

    After my PhD at University of Coimbra, I spend a year in Grenoble, France, as a Postdoc. Then I decided to do something new.
    From 1998 to 2000 I worked on the Portuguese Nuclear Reactor at Sacavém, studying neutron diffusion and radiation protection.

    Since 1998 I fell in love with Artificial Neural Networks (ANN) and Machine Learning. I applied these techniques to any problems that I could put my hands on: from physics to economics or even deep oil discovery. We were able to successful apply ANN to several Rutherfod  BackScattering (RBS) spectra analysis of thin films and revolutionize the field of real-time RBS.

    In 2003, I was able to propose a new algorithm to train Neural Networks for classification problems and apply it to complex tasks, namely financial distress prediction of private French companies.

    In 2004 I took a Sabbatical leave at Los Alamos National Laboratory to engage in the study of Complex Network Analysis.  A topic that I eventually resume early in 2011 and in which I have a keen interest, especially in its applications to recommendation systems and correlated credit events (dominó bankruptcies). Early 2011 Tiago and I were the first portuguese team to be accepted at Seedcamp London, the biggest entrepreneurship meeting in Europe.

  • My Passions

    Data analysis, algorithms, machine learning, social networks, complexity.

  • My Education

    I had the privilege to take my degree of Physics, in 1990, at one of the best Portuguese engineering schools, Instituto Superior Técnico, in the beautiful city of Lisbon.
    In 1993 I took the master degree in Plasma Physics to study the hot plasma of the ISTOK tokamak using function parametrization. I moved to Coimbra in 1993 for my PhD in Theoretical Physics. Though I didn’t love the city, I got fascinated by the personality and character of Professor Carlos Fiolhais. The thesis was on fission of metallic clusters – building blocks of nanotechnology.

  • Teaching

    Beside being a full professor of physics at ISEP, I lectured on several international post-graduated degrees, like master in Bioinformatics in University Pompeu Fabra in Barcelona and at a MBA on real estate in ISEG, Lisbon.
  • Some projects

  • See this demo on Latent Dirichelet Allocation for a dating web site.


    Ethics in the age of intelligent machines

    As machines become more advanced, the implications in business and society will be enormous. The unfold of interaction human-machine is hard to predict but one thing is clear: we will have to teach machines ethics. Teaching human ethics to a non-human entity is the challenge I...

    Nassim Taleb Commencement Speech @AUB

    Acute and inspirational. This is the type of people that I take lessons from. Speech by Nassim Taleb – Distinguished Professor of Risk Engineering, NYU May 27, 2016: “Dear graduating students, This is the first commencement I have ever attended (I did not attend my...

    Why AlphaGo is a milestone but it still not achieved AGI

    Congrats Google Deepmind. You did it! Top rank player of Go is no longer a human. Should we rejoice or fear this formidable feat? Is this milestone the start of the end game in the quest for Artificial General Intelligence (AGI)? My short answer is yes and no. First, some...

    AlphaGo Part III

    What is the problem in reaching AGI? Haven’t machines proved powerful enough to solve all hard problems we through to them: locomotion, playing games, driving cars, translation, even cooking. So, we are already there, aren’t we? No. The problem I see can be stated in...

    AlphaGo – Part II

    AlphaGo – Part (II) ANN research were confined to a few ghettos, most prominently, Geoffrey Hinton in Toronto, Yann LeCunn in New York, Yoshua Bengio in Montreal and Jurgen Schmidhuber in Losano. They worked hard to solve a fundamental problem in ANNs: how to train deep...

    Open Source Libraries for Deep Learning

    There are many open source libraries available: Caffe TensorFlow, Theano, and Torch.   Caffe is one of the first deep learning toolkit, started in late 2013, mainly used for convolutional neural network and still actively used. However, it doesn’t support recurrent networks...

    Symbols and meaning

    I just come across a recent publication of Nate Soares by the Miri institute https://intelligence.org/files/RealisticWorldModels.pdf concerning a theoretical framework on artifical cognitive agents building models of the world. The author refers to the Solomonof induction problem...

    Knowledge Representation and Visualisation in Graphs using Convolutional Neural Networks

    My newest paper is “Knowledge Representation and Visualisation in Graphs using Convolutional Neural Networks”. Here is the abstract: “Knowledge Graphs (KG) constitute a flexible representation of complex relationships between entities particularly useful for...

    Fresh perspective on the symbol grounding problem

    A striking feature of the human brain is the ability to associate abstract concepts with the sensory input signals, such as visual and audio. As a result of this multimodal association, a concept can be located and translated from a representation of one modality (visual) to...