Images are now parsed like language. OCR, visual context and pixel-level quality shape how AI systems interpret and surface ...

Abstract: Mangrove forests act as powerful carbon sinks as they store much larger amounts of carbon than terrestrial forests, and hence help mitigate climate change, echoing the sustainable ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...

Abstract: In real clinical scenarios, diagnosis algorithms may face the complex concurrent presence of multiple common, rare, or even unknown disease conditions. In particular, rare disease categories ...

We present RobusTok, a new image tokenizer with a two-stage training scheme: Main training → constructs a robust latent space. Post-training → aligns the generator’s latent distribution with its image ...

A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

This is the repository for the LinkedIn Learning course PyTorch Essential Training: Working with Images. The full course is available from LinkedIn Learning. Machine learning developers and data ...

WASHINGTON, Nov 24 (Reuters) - U.S. President Donald Trump on Monday began the process of designating certain Muslim Brotherhood chapters as foreign terrorist organizations and specially designated ...