Building trust into physical AI
Our AI assurance policy helps industry leaders understand, contextualise and manage risk to enable responsible physical AI deployment and innovation.
Plugging the AI ‘uncertainty gap’ between innovation and trust
There is an AI uncertainty gap between innovation and AI trust; today the right approach to AI assurance is engineering for uncertainty to mitigate AI risk.
Refining whole body control to bring the ‘physical’ to physical AI
As we expand our physical AI capability, advancing whole body control in humanoid robots is vital to unlocking new applications and the next era of embodied AI.
Transforming deep tech into real tech to grow the space economy
At Silicon Valley Space Week, our panel of industry experts explored how deep tech is becoming the foundation for a new, bold, tech-led space industry.
CC in Conversation with Cambridge Science Centre
How do you make the complexity of AI understandable and accessible for children? An interactive experience by Cambridge Consultants shows how.
The energy grid is transforming – it’s time for a new system of distribution management and control
Distribution network operators (DNOs) are facing a profound transformation of the energy grid. To navigate this disruption, it’s time for a network voltage performance index (NVPI) to measure network performance and determine action