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Machine Learning

Scientists find potential for early earthquake warnings

Researchers from the University of Alaska Fairbanks have unveiled a promising method to forecast major earthquakes months in advance.

How are seasonal climate forecasts contributing to energy and water industry management?

Here, Alberto Troccoli explains why and how Europe’s H2020 project SECLI-FIRM continues to offer accurate seasonal climate forecasting which can reduce risk and cost alike for energy and water businesses.

Innovate UK give £47,000 to “food poverty map” project

A team at the University of Nottingham are working with OLIO to create a "food poverty map" via machine learning that could help local authorities target their food support.

UKRI invests £2 million into Canada-UK quantum technology collaboration

The UK and Canada have launched a quantum technology collaboration, following an agreement to share this knowledge in 2017.

Technology can track crop diseases impacting food security in Africa

New research shows how food security in Africa could be protected by an algorithm that can track diseases in banana crops.

AI algorithm to identify homeless youth at risk of substance abuse

Researchers at the College of Information Sciences and Technology at Penn State have developed an artificial intelligence (AI) algorithm to help identify homeless youth at risk of substance abuse.

Are we facing an ‘AI Winter’ or is our relationship with AI evolving?

Peter van der Putten, assistant professor in AI, Leiden University, Director of decisioning at Pegasystems, explores the 'AI Winter' and our relationship with AI.

How can machine learning benefit the healthcare sector?

Machine learning has already been widely accepted in the private sector, however, it is often feared in the public sector. Here, Simon Dennis, Director of AI & Analytics Innovation, SAS UK, explores the benefits of using machine learning in healthcare.

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