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Efficiency, Adaptation, and the Future of Intelligent SystemsContinue reading on Medium »
A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages, reducing tracking errors.
Researchers have successfully trained living biological neurons to perform complex machine learning tasks. By using microfluidic devices and "FORCE learning," the team demonstrated...
A collaborative research group has shown that biological neurons can be trained to perform a temporal pattern learning task that was previously carried out by artificial systems.
Why it mattersContinue reading on Medium »
So I was reading about this study the other night (as one does 🫠), the one where researchers mapped every single neuron of a fruit fly…Continue reading on Medium »
How two researchers modeled the first artificial neuron, how Rosenblatt taught it to learn from mistakes, and why a single geometry…Continue reading on The Quantastic Journal »
by Kevin Max, Ismael Jaras, Arno Granier, Katharina A. Wilmes, Mihai A. Petrovici Neural responses to mismatches between expected and actual stimuli have been widely reported acro...
A Hands-On Regression Project You Can Rebuild YourselfContinue reading on Medium »
A groundbreaking advancement in nano-positioning technology has been unveiled by a team of researchers from Huazhong University of Science and Technology and the University of Vict...
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Всех нас очаровывают возможности ИИ описывать происходящее перед видеокамерой, особенно часто встречаются презентации Gemini. Но пока мы нигде не нашли ответа к вопросу – А зачем?...
Всех нас очаровывают возможности ИИ описывать происходящее перед видеокамерой, особенно часто встречаются презентации Gemini. Но пока мы нигде не нашли ответа к вопросу – А зачем?...
Всех нас очаровывают возможности ИИ описывать происходящее перед видеокамерой, особенно часто встречаются презентации Gemini. Но пока мы нигде не нашли ответа к вопросу – А зачем?...
by Jacopo Fadanni, Rosalba Pacelli, Alberto Zucchetta, Pietro Rotondo, Michele Allegra The rapid surge in the number of simultaneously recorded neurons demands reliable tools to e...
In the previous article, I might have gone a little too fast. So in this one, I am covering some of those ideas again, but in a much…Continue reading on Medium »
The intricate dance of neurons in the brain has long fascinated scientists, driving relentless pursuit toward understanding the fundamental principles of neural computation. A grou...
Physicists have developed a mathematical "toy model" using statistical physics to explain one of the great mysteries of deep learning: why massive neural networks learn patterns in...
Nature Nanotechnology, Published online: 15 April 2026; doi:10.1038/s41565-026-02149-6Printed MoS2 memristive networks yield spiking neurons with multi-order complexity. Thermally...
In the realm of ultrafast laser physics, simulating nonlinear optical processes presents a formidable computational challenge. These nonlinear interactions underlie the operation o...
by Matthew Herbert Ning, Haoqi Sun, Brice Passera, Duygu Bagci Das, Brandon Westover, Alvaro Pascual-Leone, Emiliano Santarnecchi, Mouhsin M. Shafi, Recep A. Ozdemir Background Sub...
История технологий часто скрывает свои самые смелые прорывы под маской субкультуры. Пока Кремниевая долина только грезила о перцептронах, в Минске конца 80-х уже функционировал про...
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A new study introduces AI-based "neural network" controllers that stabilize renewable energy grids. By mimicking human brain processing, the AI reduces the need for physical sensor...
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