Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.
GitHub

Official implementation of "Disentanglement with Factor Quantized Variational Autoencoders"

blocks: Consists of building blocks of the architecture. configs/{dataset_name}: Consists of model specific configuration files for each dataset. data: Consists of data loader files. decoders: ...
IEEE

Hybrid Encoder Decoder Model for Image Captioning Using Deep Learning

Abstract: The process of automatically generating descriptive captions for images has become an increasingly important research area that lies at the intersection of computer vision and natural ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
IEEE

Leveraging NLP Techniques for Robust Emotion Recognition in Text

Abstract: This study introduces a novel emotion classification framework that harnesses the power of Bidirectional Encoders Representation from Transformer's (BERT)-based contextual embeddings in ...