Insights

We are reaching a thrilling watershed. Breakthrough quantum technology is leaving academia and gaining commercial traction.

The world’s most innovative companies do not have the largest R&D teams, they combine their in-house capabilities with a wide range of external resources.

Today… getting your product to market first is more important than ever!!! In fact, it is vital for the survival your organisation’s future!!! 

Current gas detection techniques are incredibly advanced – can we really do anything better?

Biometrics are becoming increasingly commonplace tools in User Access Control (UAC) systems. Fingerprint scanners are now present in even mid to entry-level smartphones – putting this technology firmly at, well, our fingertips.

This whitepaper explores the benefits of employing simulated environments to build real-world applications that level the playing field of accessing data to unlock the acceleration of the development process. 

Driven by advances in silicon and machine learning algorithms, Edge AI is presenting vast opportunities for businesses across diverse markets. 

With many industry leaders presenting, the event promised to peel back the layers of these thriving ecosystems and offer unique insights. And it didn’t disappoint...

Forward-thinking businesses are now developing their own unique strains of AI innovation. This has led to ground-breaking proofs-of-concepts - but how do you make the leap to the next level? In this webinar, Tim Ensor explains how to scale successful AI strategies and the future machine learning innovations that will revolutionize industry.

Behind the scenes of the development of the EnfuseNet system, which fuses data from extremely low-cost sensors and cameras to generate high-resolution depth data – the ideal reference point for autonomous systems.

This infographic sets out our roadmap to deliver semi-autonomous features into the mid-range vehicle segment...

As the debate moves on – and as we continue to learn from real-world deployments rather than abstract research – it seems like a good time to revisit our core principles for responsible AI. What should we be considering when we develop and deploy AI?