New Scientist

Quantum neural network may be able to cheat the uncertainty principle

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
IEEE

Recurrent Multiscale Feature Modulation for Geometry Consistent Depth Learning

Abstract: The U-Net-like coarse-to-fine network design is currently the dominant choice for dense prediction tasks. Although this design can often achieve competitive ...
Johns Hopkins Medicine

Johns Hopkins-Led Team Creates First Map of Nerve Circuitry in Bone, Identifies Key Signals for Bone Repair

First discovered in the 1950s, NGF is now known to direct the growth, maintenance, proliferation and preservation of neurons ...
eLife

Barcode activity in a recurrent network model of the hippocampus enables efficient memory binding

The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
CIO

Understanding transformers: What every leader should know about the architecture powering GenAI

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
IEEE

PruneGNN: Algorithm-Architecture Pruning Framework for Graph Neural Network Acceleration

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 ...

Language shapes visual processing in both human brains and AI models, study finds

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...