BioTech AI-pocalypse: Unleashing the Future of Biotechnology

What's the carbon footprint of digital data? As more and more of the things we do, like the way we communicate and entertain ourselves, becomes digital - it's easy to forget that all of that stuff consumes energy. To get a sense of the scale - think about the infrastructure that's needed for 10 million people to stream high quality video at the same time. Companies are meeting the exponential increase in demand for such digital products and services, but are governments keeping up with making sure the impacts are sustainable? We arguably need more transparency and accountability from big tech companies, driven by public policy, to make sure massive financial gain is met with environmental responsibility.

'Dive into the world of AI and its groundbreaking applications in healthcare. See how machine learning and data analysis are paving the way for advancements in diagnostics, prevention, and patient care efficiency.' - That's what an AI-chatbot suggested for a catchy description.

You will know someone who suffers from coronary heart disease, the leading cause of death globally. Nowadays, treatment usually involves the insertion of a tiny metal scaffold called a stent, used to widen the artery and restore blood flow. However, hundreds of thousands of patients worldwide return to hospital every year for an invasive repeat procedure due to complications. In the future, you could be one of them. A key issue is that current stents are essentially one-size-fits-all and there is a lack of understanding of how to tailor the procedure to an individual patient. But it doesn’t need to be like this! In this talk, we will explore how mathematical models, medical imaging and AI are being combined to enable personalised treatment and improve patient outcomes.

Let's step into the future of eco-friendly hardware AI together. Explore the revolutionary world of Analog Reservoir Computing (ARC), a technology that promises to redefine the landscape of artificial intelligence by harnessing the power of natural dynamics. From the ripple of water waves to the enigmatic principles of quantum optics, discover how ARC utilises the natural world's complexity to drive energy-efficient, brain-like computing systems. Learn how this innovative approach makes AI more sustainable and paves the way for advancements in neuromorphic computing, a tech capable of unparalleled problem-solving and learning efficiencies. Perfect for anyone intrigued by the intersection of technology, sustainability, and the future of AI, this presentation will illuminate the path toward a more adaptive, efficient, and green computing era.