Science Daily

How do directional connections shape complex dynamics in neuronal networks?

In order to uncover the relationship between structure and function, researchers used microfluidic devices to study neuronal networks. Uncovering the relationship between structure (connectivity) and ...
Semiconductor Engineering

Building Fixed HW Implementations of Neural Networks (Yale, Cornell et al.)

Researchers from Yale University, Cornell University, Boston University, and NTT Research have published “Physical Foundation Models: Fixed hardware implementations of large-scale neural networks”.
TMCnet

WiMi Achieves Breakthrough in Deep Convolutional Neural Network Technology Based on Quantum Parameterized Circuits

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company") is a leading global Hologram Augmented Reality ("AR") Technology provider. A quantum deep convolutional neural network technology ...
Phys.org

Multisynapse optical network outperforms digital AI models

These errors limit the accuracy of the final system. To overcome this limit, the researchers designed a "photonic multisynapse neural network" that processes information using light in a more direct ...
technologynetworks

Deep Learning in High-Content Screening Imaging

Deep learning high-content imaging is rapidly reshaping image-based screening in the modern laboratory environment. As high-content screening (HCS) generates increasingly large and complex datasets, ...