Marley Vellasco is a Full Professor at PUC-Rio. She received the BSc and MSc degrees in Electrical Engineering from PUC-Rio and the PhD degree in Computer Science from Univ College London. She published more than 90 papers in journals and 400 papers in conferences. She is the author of 5 books and 19 chapters. She supervised more than 40 PhD and 90 MSc students. She acts as Associate Editor of Neural Networks, IEEE Trans on Neural Networks & Learning Systems, IEEE Trans on Fuzzy Systems, IEEE Trans on AI, IEEE Trans on Cognitive and Developmental Systems, IEEE Trans on Cybernetics, Evolving Systems and Eng Applications of AI.
Prof. Vellasco served on the BoG of INNS for 3 terms (2011 to 2019), acted has just started her fourth term (2023-2025). She also serves as VP Conferences of IEEE Comp. Intelligence Society since 2020. She has experience in neural networks, fuzzy logic and evolutionary computing, focusing on developing models for Automatic Machine Learning, such as neuro-evolutionary, fuzzy-evolutionary and neural architecture search models.
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Nicola Fabiano, INNS Member, recently published his latest paper, "AI Act and Large Language Models (LLMs): When Critical Issues and Privacy Impact Require Human and Ethical Oversight"
He proposes considerations on the approved EU AI Act and LLMs, with a cross-cutting analysis of artificial intelligence systems, the AI Act, data protection, and privacy.
Read the paper here
Congratulations to the 2024-2026 INNS President-Elect and Board of Governors!
The following individuals have been elected for the 2024-2026 term:
President-Elect:
Francesco Carlo Morabito
Board of Governors:
Anne Canuto
Kenji Doya
Petia Georgieva
Ali A. Minai
Thomas Trappenberg
Next highest number of votes to fill Francesco Carlo Morabito's vacated seat to serve as President-Elect, individual to serve through 31 December 2024:
Alexander Gorban
Next highest number of votes to fill Cesare Alippi's resignation, individual to serve through 31 December 2024:
Sebastien Helie
Neural Networks Journal 2023 Best Paper Award
We are pleased to announce the recipients of the 2023 Neural Networks Best Paper Award are Suogui Dang, Yining Wu, Rui Yan, and Huajin Tang for their paper, “Why grid cells function as a metric for space". This paper is published in Neural Networks, volume 142, pp. 128-137, October 2021. More details about the Best Paper Award can be found on the Neural Networks' website.
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Danilo Mandic, INNS President, selected to receive the 2023 IEEE Engineering in Medicine and Biology Society Prize Paper Award
The IEEE Engineering and Biology Society (EMBS) has several journals under its remit, one of which is the IEEE Journal of Translational Engineering in Health and Medicine. Danilo Mandic and his research team published a paper in this journal on "Smart Helmet" and this paper has been selected to receive the 2023 IEEE Engineering in Medicine and Biology Society Prize Paper Award.
Read the paper here
The European Commission gathers views on G7 Guiding Principles on generative Artificial Intelligence
On 13 October 2023, the European Commission launched a stakeholder survey on draft International Guiding Principles for organizations developing advanced AI systems, which have been agreed by G7 ministers for stakeholder consultation.
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INNS History Interviews
The INNS History Committee has conducted a series of interviews with the distinguished members of our College of Fellows.