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.
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.
Developed by practicing engineers and scientist at Cambridge Consultants, this new guide is aimed at professionals who are responsible for leading, deploying, and developing AI technologies to shape the future of transportation.
Physical AI, or embodied AI, promises to redefine human-machine and environmental interaction, but Europe risks falling behind in the humanoid robotics race
How can the energy industry unlock and coordinate latent grid flexibility fast enough to seize emerging revenue streams, avoid costly infrastructure upgrades, and increase reliability and resilience?