AI Archives : Page 5 of 9 : AI 4 Scientific Discovery

02/09/2020 – AI3SD Online Seminar Series: The Bluffers Guide to Symbolic AI – Dr Louise Dennis

Post author:Samantha Kanza
Post published:2nd September 2020
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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 allow compact forms of representation and communication. Their disadvantages tend to include inflexibility, a high knowledge engineering cost, and difficulty handling non-symbolic, statistical and analogue processes such as vision and motion. This talk will cover a brief history of the field and current topics within it as well as looking at proposals for combining symbolic and non-symbolic reasoning.

26/08/2020 – AI3SD Online Seminar Series: Smart Cleaning & COVID-19 – Dr Nicholas Watson

Post author:Samantha Kanza
Post published:26th August 2020
Post category:AI3SD Event Event Coverage News
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https://www.youtube.com/watch?v=o3TSkGgHI78&ab_channel=AI4ScientificDiscovery 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…

26/08/2020 – AI3SD Online Seminar Series: Smart Cleaning & COVID-19 – Dr Nicholas Watson

Post author:Samantha Kanza
Post published:26th August 2020
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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 slow to adopt IDT’s for a variety of reasons including the availability of cost effective sensing technologies, capable of operating in production environments. This presentation will discuss the use of IDTs within the important task of food factory cleaning. It will cover the benefits and challenges of deploying robots, sensors and machine learning technologies for factory cleaning tasks in addition to the ever growing importance of effective factory cleaning during a global pandemic.

Read more about the article 19/08/2020 – AI3SD Online Seminar Series: Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System – Dr Simone Vannuccini & Ms Ekaterina Prytkova

19/08/2020 – AI3SD Online Seminar Series: Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System – Dr Simone Vannuccini & Ms Ekaterina Prytkova

Post author:Samantha Kanza
Post published:19th August 2020
Post category:AI3SD Event Event Coverage News
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https://www.youtube.com/watch?v=WyB42XTI4VA&t=12s&ab_channel=AI4ScientificDiscovery 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…

19/08/2020 – AI3SD Online Seminar Series: Artificial Intelligence’s new clothes? From General Purpose Technology to Large Technical System – Dr Simone Vannuccini & Ms Ekaterina Prytkova

Post author:Samantha Kanza
Post published:19th August 2020
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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 – drawn from the literature on large technical systems (LTS) – could be useful to understand the nature of AI. AI, in its current understanding, is a ‘system technology’ – a collection of techniques built and enabled by the conjunction of many sub-systems. From this premise, we try the fundamental building blocks of LTS on AI to provide new insights on its nature, goal orientation, and the actors and factors playing a role in enabling or constraining its development. Thinking in terms of AI LTS can help researchers to identify how control is distributed, coordination is achieved, and where decisions take place, or which levers actors (among which policy makers) can pull to relax constraints or steer the evolution of AI.

Read more about the article 05/08/2020 – AI3SD Online Seminar Series: Dimensionality in chemistry: using multidimensional data for machine learning – Dr Ella Gale

05/08/2020 – AI3SD Online Seminar Series: Dimensionality in chemistry: using multidimensional data for machine learning – Dr Ella Gale

Post author:Samantha Kanza
Post published:5th August 2020
Post category:AI3SD Event Event Coverage News
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https://www.youtube.com/watch?v=NhR7xWlAO4g&ab_channel=AI4ScientificDiscovery 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…

05/08/2020 – AI3SD Online Seminar Series: Dimensionality in chemistry: using multidimensional data for machine learning – Dr Ella Gale

Post author:Samantha Kanza
Post published:5th August 2020
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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 data and machine learning. However, our intuition from 3D space can fall down when dealing with higher dimensions and a lack of intuition can lead to mistakes in analysis. In this talk I will discuss how to think about the best dimensional space to use to describe chemical problems, how multi-dimensional space is different, techniques for using it and analysing the outputs of machine learning.

29/07/2020 – AI3SD Online Seminar Series: Neural Networks and Explanatory Opacity – Dr Will McNeill

Post author:Samantha Kanza
Post published:29th July 2020
Post category:AI3SD Event Event Coverage News
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https://www.youtube.com/watch?v=3rSnjnUjpo0&ab_channel=AI4ScientificDiscovery 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…

29/07/2020 – AI3SD Online Seminar Series: Neural Networks and Explanatory Opacity – Dr Will McNeill

Post author:Samantha Kanza
Post published:29th July 2020
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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 observed phenomena. But DANN designers have complete access to the mechanisms underpinning the systems they build - as well as access to their training sets, design parameters, training algorithms and so on. In this talk I distinguish various senses of 'explanation' - ontic, epistemic, objective, subjective. The aims are (1) to help map out the various questions we might be interested in, (2) to scope the limits of mechanistic approaches to the question of explanation, and (3) to try to narrow down the sense in which DANNs are supposed to be explanatorily opaque.

22/07/2020 – AI3SD Online Seminar Series: Design Fiction as a method and why we might use it to consider AI – Dr Naomi Jacobs

Post author:Samantha Kanza
Post published:22nd July 2020
Post category:AI3SD Event Event Coverage News
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https://www.youtube.com/watch?v=AxXZRk6CLws&ab_channel=AI4ScientificDiscovery 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…