Machine Learning Related Content

Dr Francis Gaffney, Senior Director – Mimecast Labs & Future Operations at Mimecast, charts the road to quantum-enabled cybersecurity.

Dayna Arnold, Project Manager at Zest Consult, discusses the benefits of using a synthetic data approach to machine learning as an innovative solution for increasing the availability, accuracy & security of more cost effective data.

Here Jose M. Peña Director at Lurtis LTD explores the different approaches to AI problems beyond using Machine Learning.

Researchers are developing algorithms to detect unhappiness on social media, which identify the basic needs of users from the content they share.

Tumble drying laundry can worsen air pollution, as it releases vast amounts of possibly harmful microfibres into the air, if not coupled with more eco-friendly methods.

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.