The world’s leading health organisations are employing AI models to transform lives and the future of healthcare. With AI, organisations can tackle interoperable data, meet the increasing demand for personalised medicine and next-generation clinics, develop intelligent applications unique to their workflows and accelerate areas such as image analysis, scientific research and drug discovery.

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Higher education is at the forefront of major research projects, training innovators in AI, accelerated computing and data science. At the same time, institutions need to meet the demand for more flexible, accessible education options. The ability to handle large workloads, increase efficiency, and reduce operational costs with centralised infrastructure and computational excellence is key and this can be delivered in any learning environment by using GPU-accelerated AI to enable researchers to leverage modelling, simulation, and experimental datasets to address even the biggest challenges.

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From smart automation in manufacturing to last-mile delivery, robots are becoming more ubiquitous in everyday life. Today's robots can do more than just perform tasks - they can learn, adapt and evolve using capabilities such as machine learning, computer vision, navigation and more. The AI in robots not only helps to learn the model to perform certain tasks but also makes machines more intelligently react to different scenarios.

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