Tag: generative adversarial networks

Researchers at the University of Alabama in Huntsville have built an AI framework that treats protein motion like a signal, ...

A new review argues that as autonomous IoT devices take over critical infrastructure, only adaptive, explainable, and self-healing AI defenses ...

Researchers in China have developed a new artificial intelligence framework that teaches steganographic systems how to hide secret messages inside ...

Researchers have developed a deep reinforcement learning framework that generates synthetic patient data and explicitly avoids high-risk clinical states, outperforming ...

Researchers at Lakehead University have built a federated spiking GAN that generates realistic synthetic EEG data for brain-computer interfaces while ...

A new framework combines a platform-free federated learning blockchain consensus mechanism with optimized neural networks to secure electronic health record ...

Researchers have reimagined pixels as three-dimensional cuboids whose sizes are set by RGB values, using the empty space between them ...

Researchers have developed Adaptive-CGAN, a generative AI framework that produces realistic synthetic chest X-rays, lifts diagnostic accuracy to 99.60 percent, ...

Researchers in the Czech Republic have built a generative adversarial network that creates synthetic breast ultrasound images to train a ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...