BIOENGINEER

Neural Networks Learn Stable Physics-Based Models Straight From Data

Researchers in Stuttgart have introduced a machine-learning framework that identifies stable, passive port-Hamiltonian models ...
Science

Biophysically constrained learning from healthy neural priors improves motor decoding in pathological cortical networks

High-performance brain-computer interfaces (BCIs) rely on stable neural representations, yet brain functional impairments ...
BIOENGINEER

Multi-scale transformer network sharpens brain tumor segmentation on MRI scans

A new deep learning network called MTF-Net combines multi-scale transformer attention with cross-branch feature fusion to ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
mezha

Sony has patented AI that predicts the next frame of a game based on the player's actions

Sony Interactive Entertainment has patented Generation Super Sampling technology. As TechSpot explains, it generates the next ...
Electronic Design

Why Traditional VVC Will Outlive the Neural-Codec Hype on Silicon

Neural video coding is winning on the algorithms but losing on the silicon floor — here is why traditional VVC will hold the ...