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.
宇宙経済を拓く、ディープテックの実用化
Silicon Valley Space Weekでは、業界の専門家によるパネルディスカッションを通じて、ディープテックが新しく野心的なテクノロジー主導型の宇宙産業の基盤となりつつある現状を探りました。
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
人間とロボットのインタラクションとフィジカルAIの未来
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.