eLife

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

The ability to predict brain activity from words before they occur can be explained by information shared between neighbouring words, without requiring next-word prediction by the brain.
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 ...
IEEE

VITA: Revolutionizing Traffic Analysis for Autonomous Vehicles with CVT and Encoder-Decoder Integration

Abstract: Recent advancements in sensor technologies, including camera-based systems integrated with computer vision and deep learning, have significantly transformed Advanced Driving Assistance ...