Machine Learning Related Content

Researchers have developed a new machine with a learning-based approach to recognise adolescents undergoing suicidal thoughts and behaviour.

The study, published in The Lancet Digital Health, found that deep learning tech had an average accuracy of 88% when it came to diagnosing genetic syndromes.

The team at Baylor College of Medicine are combining machine learning with a blood test, to hopefully reveal markers of early schizophrenia.

David Knezevic, PhD, CTO of Akselos, discusses an emerging field of computing that is revolutionising how large-scale infrastructures, including onshore wind structures, offshore platforms and super-tankers are designed.

Jack Williams, Strategic Product Manager – AI & Analytics, Hexagon’s Safety & Infrastructure division, explores how assistive artificial intelligence (AI) will help public safety and smart cities of the future.

When it comes to finding 'alien' life on other planets, scientists have a new theory - that extraterrestrial life is completely different to Earth-life, so finding biosignatures may not be as important as previously thought.

When rethinking service transformation, the focus should be on reshaping - Christopher Sly, AVP, Digital Transformation, HGS UK, explains why knowing the limitations to emerging tech reshapes a far greater value story.

Prof Dr Michael Düren from Justus Liebig University Giessen shares his expertise on infrastructure and jobs for both energy and mobility.

The research team believe that some people have a genetic predisposition that increases likelihood of severe COVID, which may be crucial to understanding how mutations could change outcomes.

A research team at MIT have created a machine-learning strategy to identify existing drugs that could be repurposed to fight COVID-19 in elderly patients.

A new algorithm developed by a team at the University of Barcelona can analyse the level of plastic pollution in the ocean with a reliability of 80%.

Machine learning could be the solution to the "big challenges" of accurately diagnosing depression, say scientists at the University of Birmingham.

Scientists usually take months to analyse potential mutations of the virus, but this new AI can create COVID vaccine candidates within seconds.

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.

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.

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

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

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.

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

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.