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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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The myth of when and where: How false assumptions still haunt theories of consciousness

Consciousness and Cognition. 2022. Vol. 97. Article 103246.
Rahimian S.

Recent advances in neural sciences have uncovered countless facts about the brain. Although there is a plethora of theories of consciousness, it seems to some philosophers that there is still an explanatory gap when it comes to a scientific account of subjective experience. In what follows, I argue why some of our more commonly acknowledged theories do not at all provide us with an account of subjective experience as they are built on false assumptions. These assumptions have led us into a state of cognitive dissonance between maintaining our standard scientific practices on the one hand, and maintaining our folk notions on the other. I end by proposing Illusionism as the only option for a scientific investigation of consciousness and that even if ideas like panpsychism turn out to be holding the seemingly missing piece of the puzzle, the path to them must go through Illusionism.

Research target: Psychology
Language: English
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Keywords: phenomenal consciousnessConsciousnessIllusionismFolk Psychology
Publication based on the results of:
Representations underlying cognitive task accomplishment (2021)
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