X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) focuses on holographic cloud services, primarily concentrating on professional fields such as in-vehicle AR holographic HUD, 3D holographic pulse LiDAR, ...

The rapid technological progress in recent years has driven industrial systems toward increased automation, intelligence, and precision. Large-scale mechanical systems are widely employed in critical ...

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Call it the return of Clippy — this time with AI. Microsoft’s new small language model shows us the future of interfaces. Microsoft announced this week a new generative AI (genAI) system called Mu, ...

I want to compare iTransformer's encoder only approach to Vanilla Transformer's encoder-decoder type. I used 2 encoder layer for iTransformer and 1 encoder, 1 decoder layer for Transformer with the ...

Abstract: Predicting the accurate future price of the agricultural crops is important to avoid overproduction or shortages in the food supply chain. To obtain accurate predictions, the process usually ...