Machine Learning Related Content

Tim Simpson, General Manager of Hologic UK & Ireland, discusses how AI, machine learning and prognostics could revolutionise cancer detection and treatment in breast and cervical cancer programmes.

Rocío de León, the UK Account Manager at Innova-tsn, looks at AI & ML use in the public sector, which is key to the government’s digital transformation.

Using machine learning to pinpoint the most accurate means and timelines for anticipating the advancement of Alzheimer’s disease.

Saranjit Singh, VP Telecommunications and Utilities APAC, SS&C Blue Prism discusses whether net zero by 2050 is achievable, or nothing but a pipe dream.

AI technology has a vital role to play in the future of business and academia, and the better our understanding of it, the more it can expand across sectors and skill sets.

OPEX® unveils its new Gemini™ Scanner with Right-Speed™ scanning technology OPEX® Corporation, a global leader in Next Generation Automation for almost 50 years, has introduced innovative, leading-edge technology to its suite of Document and Mail Automation solutions. Included with OPEX’s new Gemini™ high-volume scanner is “Right-Speed™”, a unique scanning capability...

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.