Engineering publications brought to you by Mark Allen

Electronics

AI at swimming pools could help save lives

Repurposed fibre optic cables show promise as seismometers

AI wastewater sampling predicts Covid hospitalisations

AI-supported mammography identifies cancer and cuts workload for radiologists

Smart Gas Pressure Sensor to speed up recovery of gas network

The team's ferroelectric neuromorphic computing chip, shown here undergoing testing in the lab

Protonation of indium selenide could lead to high-performance memory devices

Delta g raises £1.5m to commercialise subsurface mapping tech

Left: Chest radiograph Right: Visualisation of the grounds for the AI's judgment

AI trained to identify valvular heart disease

A team of researchers at the McKelvey School of Engineering and the School of Medicine has developed a proof-of-concept air quality monitor that can detect live SARS-CoV-2 virus in indoor environments. The monitor uses a biosensor made with nanobodies that is integrated into an air sampler that operates based on the wet cyclone technology, pictured above

Real-time monitor detects SARS-CoV-2 virus variants in five minutes

Pulsar Fusion plans 500,000 mph nuclear rocket

Comment: Digital manufacturing’s potential unlocked - how AI is transforming the industry

Comment: Resilience and digital transformation drive growth despite market challenges