Nature

Machine learning articles from across Nature Portfolio

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...
techtarget

4 types of machine learning models explained

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

Researchers create machine learning framework for better long-range forecasts

Weather forecasts have historically had a time frame hurdle that most weather models can't accurately predict beyond, but a group of researchers at the Massachusetts Institute of Technology (MIT) say ...

Organizing AI, Machine Learning, and Deep Learning through Familiar Tasks

AI, machine learning, and deep learning. You see these terms repeatedly in introductory materials, yet you might stumble when ...
Analytics Insight

From Models to Systems: Moxank Patel on Building Machine Learning That Works at Scale

Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...

Production-Level Machine Learning in FinTech: Designing Data Integrity, Model Validation, and Reliable Decision-Making Systems

Machine learning in financial services operates under different constraints than general-purpose prediction systems.In areas ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...