Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI ...

A new AI model by Google DeepMind can decipher DNA and predict mutations, opening new doors for disease research. View on ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...

Abstract: For image-related deep learning tasks, the first step often involves reading data from external storage and performing preprocessing on the CPU. As accelerator speed increases and the number ...

Abstract: Accurate identification of crop pests is an important issue in modern agricultural development. This study designed a preprocessing system for pest identification based on satellite remote ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

LANSING, Mich. (WLNS) — The owners of a data center company from the United Kingdom met with residents Saturday morning to discuss their proposal to create a 24 megawatt data center in downtown ...