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 ...
EurekAlert!

Direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional neural network

A new publication from Opto-Electronic Advances, 10.29026/oea.2023.220148 discusses the direct field-to-pattern monolithic design of holographic metasurface via residual encoder-decoder convolutional ...
BIOENGINEER

Lightweight AI Network Segments Glioma Tumors and Edema on MRI Scans

A new hybrid CNN-Transformer model called AGDE-Net accurately segments tumor cores and peritumoral edema in adult glioma MRI ...
Research Matters

Quantum-inspired data compression outperforms classical ones under extreme bandwidth squeezes

Scientists have found how artificial intelligence AI can pack and transfer data using quantum-inspired mathematics, showing ...
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 ...
techtarget

Machine learning vs. neural networks: What's the difference?

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...