Event Coverage

Video: Coming Soon. Abstract: The concept of in silico molecular design goes back decades and has a long history of published approaches using many different algorithms and models. Major challenges involved in de novo molecular design are manifold, including identifying appropriate molecular representations for optimisation, scoring designed molecules against multiple ...

Abstract: Professor Charlotte Deane from the University of Oxford speaks about some of the work her research group have done on Machine Learning for Early Stage Drug Discovery to give a flavour of the different kinds of approaches they have been looking at. These run from predicting whether molecules will ...

Abstract: Symbolic AI, sometimes referred to as Good Old-fashioned AI, has its roots in the earliest days of the AI project. It seeks to represent reasoning using explicit data structures often drawn from logic. Symbolic AI systems have the advantage of being comparatively easy to understand and analyse and potentially ...

Abstract: Industrial Digital Technologies (IDTs) such as robotics, AI and IoT are transforming manufacturing worldwide with significant productivity, efficiency and environmental sustainability benefits. This digital revolution is often labelled Industry 4.0 and at its heart is the enhanced collection and use of data. The food and drink sector has been ...

Abstract: Artificial Intelligence (AI) is expected to be characterised by wide applicability; for this reason, it has been quickly labelled a General Purpose Technology (GPT). In this paper, we critically assess whether AI is really a GPT. Provided that the answer is ‘not exactly’, we suggest that an alternative framework ...

Video: The video of this seminar can be requested by AI3SD Members. Please email us on info@ai3sd.org to request a link. Interview: Andy was interviewed by Michelle Pauli at our Network Conference in 2019 on his thoughts on AI. This interview can be found here: https://eprints.soton.ac.uk/441867/ Abstract: We experience the benefits ...

Abstract: In the last hundred years mankind has fully absorbed the idea of multi-dimensional space, starting with 4D space time. Due to the increase in computational power, scientists can now manipulate molecules in 4D (3D vibrating molecules in VR) and work with multidimensional datasets, which are needed to utilize big ...

Abstract: Deep artificial neural network (DANN) designers often accept that the systems they construct lack interpretability, are not transparent – in other words, that they are ‘inexplicable’. It should not be obvious what they mean. Explanations, particularly in the neurosciences, are often thought to consist of the mechanisms which underpin ...

Interview: After this seminar, Dr Samantha Kanza interviewed Naomi. This interview can be found here: https://eprints.soton.ac.uk/442940/ Abstract: AI is a fast moving field that is rapidly advancing and becoming embedded in a multitude of sectors and applications. With such a fast pace, and excitement over the possibilities it allows, there ...

Interview: Prior to this seminar, AI3SD interviewed Jonathan. This interview can be found here: https://eprints.soton.ac.uk/442343/ Abstract: The IUPAC international chemical identifier, InChI, provides a way to name molecules. It is defined by an open algorithm that transforms molecular structures into unique strings of text. Each molecule should have exactly one ...