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.
IEEE

An Optimized Model With Encoder-Decoder ConvLSTM for Global Ionospheric Forecasting

Abstract: The ionosphere is vital for satellite navigation and radio communication, but observational limitations necessitate ionospheric forecasting. The least squares collocation (LSC) method is ...
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: ...
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 ...
GitHub

custom-model-binding.md

Model binding allows controller actions to work directly with model types (passed in as method arguments), rather than HTTP requests. Mapping between incoming request data and application models is ...