This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

The secret behind NeuO (neuronal selective fluorescent probe), which accurately identifies and fluorescently stains neurons ...

Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat. But these bunnies are robots meant to lure the giant invasive snakes out of ...

Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and ...

Big Data Technology and Artificial Intelligence are like a pair of "sibling disciplines"—the former provides the fuel (data) for the latter, while the latter imparts wisdom (algorithms) to the former.

As the only company in the world to achieve "pore-level skin texture replication" and "millimeter-level motion capture," Kayi ...

By using PyTorch — a popular open-source AI library — Dr. Betgeri was able to implement automatic differentiation, allowing ...