How to ensure AI's outcomes are no longer 'subject to available data'
The potential of AI hinges on high-quality, first-order data; without robust data collection, promises of transformative AI solutions remain empty.
The potential of AI hinges on high-quality, first-order data; without robust data collection, promises of transformative AI solutions remain empty.
Expectations of AI to address climate change often overlook the need to strengthen the underlying data used for emissions and infrastructure.
While we target net zero goals, we should ensure protecting our current infrastructure, adopting new technologies and enhancing global cooperation.
The Centre for Advanced Manufacturing and Supply Chains is enabling more resilient, sustainable and inclusive manufacturing ecosystems and supply chains.
The Centre for Energy and Materials is driving initiatives and coalitions to ensure the energy transition is sustainable, secure, resilient and affordable.