DeepSeek releases ‘sparse attention’ model that cuts API costs in half

Researchers at DeepSeek released a new experimental model designed to have dramatically lower inference costs when used in ...

DeepSeek launches experimental model more efficient at handling long-text scenarios

Exp, an experimental version of its flagship model and a stepping stone towards its next-generation architecture, the China-based artificial intelligence startup announced Monday.
WinBuzzer

DeepSeek Releases Experimental V3.2 AI Model with ‘Sparse Attention’ to Boost Efficiency

Chinese AI lab DeepSeek has released DeepSeek-V3.2-Exp, an experimental open-source model testing a new, more efficient ...
Devdiscourse

DeepSeek's Groundbreaking AI Model: Paving the Way for Future Innovations

DeepSeek, a Chinese AI developer, has launched its experimental model, DeepSeek-V3.2-Exp. This model boasts improved ...

DeepSeek Debuts ‘Sparse Attention’ Method in Next-Gen AI Model

DeepSeek updated an experimental AI model Monday in what it called a step toward next-generation artificial intelligence.
Game Rant

How to Sprint in Silksong

Waseem is a writer here at GameRant. He can still feel the pain of Harry Du Bois in Disco Elysium, the confusion of Alan Wake in the Remedy Connected Universe, the force of Ken's shoryukens and the ...
IEEE

Online Public Opinion Situation Assessment by Deep Sparse Autoencoder and Time-Series Modeling Convolutional Neural Network

Abstract: We have developed an innovative framework for analyzing online public sentiment, referred to as the Online Public Opinion Situation Assessment (OPOSA) model. This model employs Deep Sparse ...
Scientific Research Publishing

Traffic Speed Prediction Based on Autoencoder and Deep Learning ()

Traffic prediction is the core of intelligent transportation system, and accurate traffic speed prediction is the key to optimize traffic management. Currently, the traffic speed prediction model ...
Phys.org

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
Frontiers

BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders

Introduction: Predicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ...