Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?

This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...

A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...

A similar update is coming to Amazon SageMaker AI, which is a more advanced AI machine learning platform that allows ...

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Self-organizing maps, and the machine learning protocol involved in creating them, have been in use since the 1980s, Lawrence ...

AI software development trends 2026. AI agents become standard in Enterprise systems, natural language becomes default ...

In a remarkable achievement for the field of artificial intelligence, the Alibaba Qwen team has been awarded the prestigious 'NeurIPS 2025 Best Paper Award' at the Conference on Neural Information ...

Apple has hired Bengaluru-born AI expert Amar Subramanya as its new AI vice-president, signalling a major push to accelerate ...

Large language models are machine learning models designed for a range of language-related tasks such as text generation and ...

Apple has appointed Amar Subramanya as its new vice-president of artificial intelligence (AI), giving him charge of foundation models, machine learning research and safety ...