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September 18, 2026
When Pictures Hinder Understanding: Illustrations May Impede Learning of Abstract Ideas
Illustrations can help remember specific actions but do not always make abstract ideas easier to learn. Researchers from HSE University and Humboldt University compared how people learn from texts with different levels of abstractness. They found that participants remembered illustrations better and performed better on related tasks after reading a multimedia text about yoga asanas than after reading an abstract text about the Nash equilibrium. The findings could help improve the selection of illustrations for educational and informational materials. The study has been published in Learning and Instruction.
September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?

 

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Artificial Consciousness, Superintelligence and Ethics in Robotics: How to Get There?

Mind and Matter. 2021. Vol. 19. No. 1. P. 7–43.
Vervoort L., Melnikov A., Chauhan M., Nikolaev V.

Can future robots and artificial-intelligence (AI) systems have consciousness and genuinely human intelligence – or even superhuman intelligence? Is it possible for them to behave ethically? Here we look at these questions from the point of view of philosophy and AI, and argue that these questions are related: their answer hinges on the fulfillment of the same condition. Starting from an analysis of the concept of consciousness, we argue that the key capacity that computers and robots should possess in order to emulate human cognition and (ethical) consciousness is the capacity to learn and apply “coherent webs-of-theories”. We conjecture that where classic AI has been, in essence, “data-driven”, the greatest leap forward would be “theory-driven” AI. We review prominent work in deep learning and cognitive neuroscience to back up this claim.

Research target: Philosophy, Ethics, and Religious Studies Computer Science Physics
Language: English
Text on another site
Keywords: philosophy of scienceArtificial Intelligence (incl. Robotics)AI Ethicstrends in the use of artificial intelligence
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