The ASE is delighted to be hosting its Annual Conference, generously sponsored by AQA, at the University of Nottingham from 9th to 11th January 2025. International sessions are incorporated throughout the event’s 3 days and we will have a great exhibition with lots of exclusive Conference offers. Post-16 focus-day and for those involved in leading and delivering professional development, the Teacher Developers’ Group programme is Thursday. Friday is the dedicated Technicians day, kindly sponsored by Philip Harris, and Early Career Teacher day. Sessions for both Primary and 11-19 are threaded throughout all 3 days with a focus on Research on Saturday.
Book your tickets now at https://ase2025AnnConf.eventbrite.co.uk - and remember, if you are an ASE member you will benefit from hugely discounted prices! Check out our membership here - it’s free for Early Career Teachers and only £25 for Technicians!
In this talk I will introduce the exciting role that AI is taking “behind the scenes” in science. In the media we often see incredible (and sometimes worrying..) demonstrations of chat bots, image generation, and even AI music. It’s easy to think that AI just solves these problems, but this is rarely the case. Outside of fun pictures it’s not always clear how we can use these tools to solve real world problems in other disciplines. This talk will examine some of the key approaches in modern AI, looking past the hype to how they can be repurposed into useful tools for science.
We will examine how generative AI approaches can be used to perform optical correction in microscope images, potentially unlocking new approaches to harmless imaging through skin to diagnose diseases in the human body. We will explore the challenges of capturing images through skin, of distortions and how me might begin to correct these. This is real challenge, and one that requires many different experts in many different fields. We don’t solve this problem with AI alone, despite how exciting people make it sound.
This project uses new kinds of laser light to penetrate deeper, new kinds of optical systems that (using AI) adapts to challenging images in real time. It needs chemists to design artificial tissue with realistic properties on which we can test, and doctors with expertise in disease diagnosis. In this talk, I hope to convince you not only that AI and computer science are fantastic, but that interdisciplinary research is the most exciting kind!
