The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

DLSS 4's upgraded Transformer-based AI Super Resolution has exited Beta, which means we'll start seeing it arrive in a lot more games.

Finally understand how encoder blocks work in transformers, with a step-by-step guide that makes it all click. #AI #EncoderDecoder #NeuralNetworks ...

Figure 1. Basic Autoencoder architecture, showing encoder and decoder components [22]. Figure 2. AE-based framework for signal reconstruction, highlighting latent space compression. Recent ...

• A novel transformer-based algorithm was developed for the classification of four classes of CVD. • Extensive experiments and a comparison has been presented with existing state-of-the-art studies ...

The techniques discussed in the literature are based on convolutional neural networks, Linformer models, or transformer models for deepfake detection, each with its advantages and disadvantages.

A new technical paper titled “Accelerating OTA Circuit Design: Transistor Sizing Based on a Transformer Model and Precomputed Lookup Tables” was published by University Minnesota and Cadence. Abstract ...

Given ViViT’s strength in handling video data through its transformer-based architecture, we explored its performance on our dataset. This allowed us to evaluate the differences in classification ...