Around the world, ageing populations and an accompanying increase in the prevalence of chronic diseases are driving up the demand for medical care. In response to growing pressure on healthcare ...

In UK military and aerospace systems, thin film patterned substrates literally serve as the foundation of some of the most critical electronic assemblies, including RF, microwave, millimetre wave, and ...

I’m not an engineer by trade. While that may seem like an odd way to open an article about AI and engineering, I’m going to tell you why it matters.

Modern chip manufacturing demands precision at the nanometer scale, where even microscopic deviations carry significant financial weight.

Healthcare systems are now amongst the most aggressively targeted areas by cyber criminals, with the number of attacks ...

Modern military and commercial operations rely on radio communications that are resistant to sophisticated electronic attacks.

AMD and Rackspace Technology have announced the signing of a definitive agreement for the phased deployment of an initial 30MW footprint dedicated to AMD-based compute deployments across Rackspace’s ...

AMD has announced plans to invest up to £2 billion over the next five years in the UK to accelerate AI innovation and research.

At London Tech Week (LTW) 2026, Prime Minister Sir Keir Starmer pledged an AI-powered future for all of Britain. Addressing attendees during his keynote, Starmer set out the ambitious future for a ...

Compared with traditional FR4 boards, glass PCBs offer advantages such as heat resistance, transparency, and stability, and are widely used in high-end fields like 5G communications and medical ...

Quantum computing is a fast-growing and ambitious industry. Yet, for all the progress made with silicon-based systems, ion traps, and superconducting circuits, the materials challenge is one of the ...

Artificial intelligence (AI) development has evolved from a largely software-centric discipline into one that is deeply dependent on hardware architecture. Model size, training time, inference latency ...