Nature

The optimization path of agricultural industry structure and intelligent transformation by deep learning

The primary objective of this study is to propose a deep learning-based approach for optimizing the agricultural industry structure, with the aim of addressing resource waste and environmental ...
Nature

Harris Hawks optimization based deep learning models for heart disease diagnosis

The medical community demands accurate predictive models for early heart disease diagnosis because heart disease remains a significant worldwide health concern. Deep learning research presents a ...
EurekAlert!

‘DeepSwarm’ leading a new era of Swarm Deep Learning

The rise of on-device deep learning (DL) in resource-limited mobile and embedded devices has stimulated various applications. However, existing on-device DL mostly relies on predefined processing ...
Forbes

The Inference Economy: How Sparse Computing And Model Optimization Are Reshaping Enterprise AI Deployment

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...
TechRepublic

Gemini 2.5 Deep Think Is Google’s Most Advanced AI Model to Date

Google is releasing the high-performing Deep Think AI to select researchers, supporting advanced reasoning tests and future optimization in complex math tasks. Deep Think, a multi-agent AI model from ...

Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights

Microsoft's SkillOpt brings deep-learning discipline to AI agent skills, replacing manual prompt tweaking with mathematically ...