Search Results for: School seminar

School Seminar: Jon Rogers, “There’s plenty of room in our communities: Rethinking computational scale through open hardware”

You are warmly invited to the third School Seminar: Speaker: Jon Rogers Title: There’s plenty of room in our communities: Rethinking computational scale through open hardware Abstract: The dominant business model of Big Tech is built on scale. Scale to outpace competitors, capture global markets, and consolidate control. Today, just a handful of companies mediate … School Seminar: Jon Rogers, “There’s plenty of room in our communities: Rethinking computational scale through open hardware”

School Seminar – Peter Macgregor “Fast Dynamic Algorithms for Modern Clustering”

You are warmly invited to the second School Seminar: Speaker: Peter Macgregor Title: Fast Dynamic Algorithms for Modern Clustering Abstract: Spectral clustering and DBSCAN both have long histories as theoretically grounded, general-purpose clustering algorithms. However, they face practical challenges when scaling to large datasets which have limited their adoption in practice. In recent work, we … School Seminar – Peter Macgregor “Fast Dynamic Algorithms for Modern Clustering”

School seminar: Interactions between Group Theory, Cyber Security, Artificial Intelligence, and Quantum Computation – talk by Delaram Kahrobaei (York)

Abstract: In this talk, I explore how group theory playing a crucial role in cyber security and quantum computation. At the same time, how computer science for example machine learning algorithms and computational complexity could help group theorists to tackle their open problems, as such this could help with cryptanalysis of the proposed primitives. Symmetry … School seminar: Interactions between Group Theory, Cyber Security, Artificial Intelligence, and Quantum Computation – talk by Delaram Kahrobaei (York)

Hugh Leather (Edinburgh): Deep Learning for Compilers (School Seminar)

Abstract: Writing optimising compilers is difficult. The range of programs that may be presented to the compiler is huge and the system on which they run are complex, heterogeneous, non-deterministic, and constantly changing. Machine learning has been shown to make writing compiler heuristics easier, but many issues remain. In this talk I will discuss recent … Hugh Leather (Edinburgh): Deep Learning for Compilers (School Seminar)

Paul-Olivier Dehaye: From Cambridge Analytica to the future of online services: a personal journey (School Seminar)

Abstract: 2018 was a crazy year for privacy. The General Data Protection Regulation came into force in May, and new revelations on the personal data ecosystem were making headlines on a weekly basis. I will give the behind the scenes for a lot of these events, question why they didn’t happen earlier, and offer some … Paul-Olivier Dehaye: From Cambridge Analytica to the future of online services: a personal journey (School Seminar)

Rachel Menzies (Dundee): Unlocking Accessible Escape Rooms: Is Technology the Key? (School Seminar)

Abstract: Escape rooms are popular recreational activities whereby players are locked in a room and must solve a series of puzzles in order to ‘escape’. Recent years have seen a large expansion technology being used in these rooms in order to provide ever changing and increasingly immersive experiences. This technology could be used to minimise … Rachel Menzies (Dundee): Unlocking Accessible Escape Rooms: Is Technology the Key? (School Seminar)

Marina Romanchikova (NPL): How good are our data? Measuring the data quality at National Physical Laboratory (School Seminar)

Abstract: From mapping the spread of disease to monitoring climate change, data holds the key to solving some of the world’s biggest challenges. Dependable decisions rely on understanding the provenance and reliability of data. Historically, only a small fraction of the generated data was shared and re-used, while the majority of data were used once … Marina Romanchikova (NPL): How good are our data? Measuring the data quality at National Physical Laboratory (School Seminar)

Lauren Roberts & Peter Michalák (Newcastle): Automating the Placement of Time Series Models for IoT Healthcare Applications (School Seminar)

Abstract: There has been a dramatic growth in the number and range of Internet of Things (IoT) sensors that generate healthcare data. These sensors stream high-dimensional time series data that must be analysed in order to provide the insights into medical conditions that can improve patient healthcare. This raises both statistical and computational challenges, including … Lauren Roberts & Peter Michalák (Newcastle): Automating the Placement of Time Series Models for IoT Healthcare Applications (School Seminar)