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.
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.
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.
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.
How do you make the complexity of AI understandable and accessible for children? An interactive experience by Cambridge Consultants shows how.
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
Discover how CC is driving the real-world impact of physical AI with a focus on human-robot interaction (HRI) to enable true collaboration and understanding.