FAYETTEVILLE, GA, UNITED STATES, December 31, 2025 /EINPresswire.com/ — Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by ...
A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...
Consciousness may emerge not from code, but from the way living brains physically compute.
A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
It shows the schematic of the physics-informed neural network algorithm for pricing European options under the Heston model. The market price of risk is taken to be λ=0. Automatic differentiation is ...
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Computational brain model predicts errors, uncovers previously unseen neurons
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category ...
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NSLLMs: Bridging neuroscience and LLMs for efficient, interpretable AI systems
Large language models (LLMs) have become crucial tools in the pursuit of artificial general intelligence (AGI).
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