Alexander N. Gorban is currently a Professor, Chair in Applied Mathematics and Director of the Centre for Artificial Intelligence, Data Analytics and Modelling at the College of Science and Engineering, University of Leicester (since 2004), PhD in differential equations and mathematical physics (1980) and ScDr in biophysics (1990). He worked for the Russian Academy of Sciences, Siberian Branch, and ETH Zürich, was a visiting professor and research scholar at Clay Mathematics Institute (Cambridge, MA), Institut des Hautes Etudes Scientifiques (Bures-sur-Yvette, France), Courant Institute of Mathematical Sciences (New York, NY), and Isaac Newton Institute for Mathematical Sciences (Cambridge, UK). His research has been continuously supported by grants from various foundations and industrial contracts. He has more than 30 years of research in neural networks and machine learning, published more than 200 research papers and 18 books. He is a member of INNS, SIAM, LMS, a fellow of the Higher Education Academy (UK), a member of the Board of Governors of INNS (International Neural Network Society), a member of the Board of Governors of RNNS (Russian Neural Network Society), and a member of the Scientific Council of Russian Society of Artificial Intelligence. |
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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.
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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.