Dr. Danil Prokhorov started his research career in Russia. He studied system engineering which included courses in math, physics, mechatronics and computer technologies, as well as aerospace and robotics. He received his M.S. with Honors in St. Petersburg, Russia, in 1992. After receiving Ph.D. in 1997, he joined the staff of Ford Scientific Research Laboratory, Dearborn, Michigan. While at Ford he pursued machine learning research focusing on neural networks with applications to system modeling, powertrain control, diagnostics and optimization. He has been involved in research and planning for various intelligent technologies, such as highly automated vehicles, AI and other futuristic systems at Toyota Tech Center (TTC), Ann Arbor, MI since 2005. Since 2011 he is in charge of future research department in Toyota Motor North America R & D. He has been serving as a panel expert for NSF, DOE, ARPA, Senior and Associate Editor of several scientific journals for over 20 years. He has been involved with several professional societies including IEEE Intelligent Transportation Systems (ITS) (Board Member 2014-16, Senior Editor of T-IV from 2016) and IEEE Computational Intelligence Society (CIS), as well as International Neural Network Society (INNS) as its former Board member, President (2013-14) and recently elected Fellow. He has authored lots of publications and more than 90 patents. Having shown feasibility of autonomous driving and personal flying mobility, his department continues research of complex multi-disciplinary problems while exploring opportunities for the next big thing. Dr. Danil Prokhorov has worked in the field of artificial neural networks and automotive systems for more than 25 years, from the start of his research career in Russia as a young researcher in the St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences to his current position of the Future System Research Department Head of the Toyota R & D, North America. |
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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.
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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.