Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple ...

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Autonomous applications demand instant decisions, which require significant edge processing to achieve optimal latency ...

The intersection of AI and algorithmic crypto signals is the turning point in digital finance. As markets grow, volume and ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

SLMs targeted at specific workloads could change the relationship between edge devices and the cloud, creating new ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

IBM is entering a crowded and rapidly evolving market of small language models (SLMs), competing with offerings like Qwen3, ...

Understanding the role of external factors in chemical reactions is central to theoretical and experimental chemistry ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Boris FX Continuum 2026 expands AI masking, keying, and compositing tools for faster, cleaner postproduction workflows.

The global AI chip market has grown to $166.9 billion in 2025, and is predicted to reach $311.58 billion by 2029, ...