Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
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New training technique opens the door to neural networks that require much less energyAI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance ...
Treating the neurons and me — my mental states — in a synergistic way proved to speed up and enhance healing. It does for ...
The human brain is a complex powerhouse, responsible for orchestrating thoughts, emotions, and memories. Its nerve cells ...
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Neural networks model improves machine vision and object detection under low-light conditionsWhen designing a robot, such as Boston Dynamics' anthropomorphic robot Atlas, which appears exercising and sorting boxes, ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even ...
Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.
A collaborative team of researchers from Carnegie Mellon University and the University of Pittsburgh designed a clever experiment using a brain-controlled interface to determine whether one-way ...
Morphological profiling allows accurate identification of cell types in dense iPSC-derived cultures, allowing its use for quality control and differentiation monitoring.
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