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How scientists are growing computers from human brain cells – and why they want to keep doing it
As prominent artificial intelligence (AI) researchers eye limits to the current phase of the technology, a different approach ...
The Register on MSN
Artificial brains could point the way to ultra-efficient supercomputers
Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National ...
Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
Abstract: Performing training and inference for Graph Neural Networks (GNNs) under tight latency constraints has become increasingly difficult as real-world input graphs continue to grow. Compared to ...
Scholars deliver the first systematic survey of Dynamic GNNs, unifying continuous- and discrete-time models, benchmarking ...
Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...
Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...
Abstract: Intracortical brain-computer interfaces offer superior spatial and temporal resolutions, but face challenges as the increasing number of recording channels introduces high amounts of data to ...
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