In this study, we propose a novel lightweight model specifically for reliable traffic perception in low-light conditions, utilizing an encoder-decoder architecture ... a feature fusion module based on ...

It follows a sequence-to-sequence architecture with attention mechanism to address the traffic data imputation problem. Specifically, the model consists of two key components: encoder and decoder, ...

Mem0's architecture is designed to LLM memory and enhance consistency for more reliable agent performance in long conversations.

Nvidia's new Parakeet-TDT-0.6B-v2 speech recognition model has achieved top ranking on the Open ASR Leaderboard, offering ...

The viral screenshot shows an Instagram story posted by Kolhi in Hinglish which roughly translates in English to, "If this much attention was paid towards the government, India would not be the rape ...

Data Preparation: Convert words to index prior to one-hot encoding for training, validation and test sets. Training: Train the NMT architecture. Decoding/Testing: Realize the beam search to translate ...