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Harvard wearable robot provides personalised support for stroke and ALS patients

Harvard engineers have pioneered a unique wearable robot that adapts to user movements, providing personalised assistance to enhance daily activities for stroke and ALS patients.

Combining data & physics can make the world’s biggest decisions easier

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.

Public safety and smart cities: How assistive AI will help

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.

Scientists use new strategy to identify ‘alien’ life on other planets

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.

Citizen experience: Frictionless operations to improve people’s lives 

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.

Infrastructure and jobs for energy and mobility

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

Scientists use machine learning to identify likelihood of severe COVID

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.

Existing drugs could be used to fight COVID-19 in elderly patients

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.

New algorithm can analyse plastic pollution in the ocean

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%.

The challenge of diagnosing depression could be solved by machines

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

Scientists invent AI that creates COVID vaccine candidates within seconds

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

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.

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