What is the master algorithm that allows humans to be so efficient at learning things? That is a question that has perplexed artificial intelligence scientists and researchers who, for the past ...
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Brain-inspired neural networks reveal insights into biological basis of relational learning
Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in the world. This ability, known as "relational learning," is widely regarded ...
Reply [EXM, STAR: REY] today announced the start of a collaboration with the Department of Pathophysiology and ...
(A) Schematic illustration of the DishBrain feedback loop, the simulated game environment, and electrode configurations. (B) A schematic illustration of the overall network construction framework. The ...
One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...
The ability to precisely predict movements is essential not only for humans and animals, but also for many AI applications - from autonomous driving to robotics. Researchers at the Technical ...
Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
Artificial neural networks mimic human brains, but the technology has its roots in physics. If your jaw dropped as you watched the latest AI-generated video, your bank balance was saved from criminals ...
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