This Week’s EventsAll Upcoming EventsPast EventsWebapp

This Week’s Events

Network Infrastructure to Realize City as a Service

Group: Systems Seminars
Speaker: Sumiko Miyata, Tokyo Institute of Technology
Date: 09 September, 2024
Time: 14:00 - 15:00
Location: SAWB 423 and online -- https://uofglasgow.zoom.us/j/86057258886?pwd=y2kOP3VMnErustCF9dtN6hHIVZ4VvH.1

My research area is network infrastructures to realize "City as a Service" in smart cities, where city services can be used like applications on a smart phone. In order to realize various services in City as a Service, large amounts of monitoring data need to be processed quickly and reliably. My research interests include traffic control and information security. In this presentation, we will describe network infrastructure technologies to realize City as a Service from the viewpoint of traffic control and information security.  
　This presentation will also introduce our efforts to realize a secure data management system using a start-up grant from the Tokyo Metropolitan Government, and examples of our participation in overseas exhibitions related to our proposed network infrastructure.

Temporal Evaluation for Large Language Models

Group: Information Retrieval (IR)
Speaker: Wei Zhao, University of Aberdeen
Date: 09 September, 2024
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Title:
Temporal Evaluation for Large Language Models

Abstract:
Temporal Information Retrieval (IR) has revolutionized the way we consume time-sensitive knowledge from large-scale web archives on the Internet. However, IR is not always efficient, especially when a query requests the need to gather information from multiple sources and compile it in a concise way. Recently, conversational IR such as Perplexity AI and SearchGPT, born from the marriage of Large Language Models (LLMs) and IR, has the potential to meet such complex information needs through a conversational interface. While interesting, conversational IR lacks temporal considerations, thereby limiting its wider applicability in the real world. In this talk, I will present a temporally grounded benchmark dataset followed by an empirical study on the temporal abilities of varying LLM families. Furthermore, I will shed light on the potential causes of model hallucinations in the temporal context.

Bio:
Wei Zhao is currently a tenured Lecturer in NLP at the University of Aberdeen in Scotland, and also holds a Lectureship (Lehrauftrag) in Computational Linguistics at the University of Heidelberg in Germany. Before that, he was a postdoctoral researcher at the Heidelberg Institute for Theoretical Studies, affiliated with Research Station "Geometry + Dynamics” at the University of Heidelberg, supported by a Young Marsilius Fellowship and the Klaus Tschira Foundation. He earned his PhD at the AIPHES Training Group from Technische Universität Darmstadt, supported by the German National Funding. His research interests lie in a dual perspective on Large Language Models (LLMs), namely research in LLMs as a subject of study and using LLMs as a means for research in digital humanities. His current projects are partly funded by Google and the Royal Society of Edinburgh.

Estimating and improving image quality for humans and AI using optimization, generative models, and vision language models

Group: Systems Seminars
Speaker: Takamichi Miyata, Chiba Institute of Technology
Date: 10 September, 2024
Time: 14:00 - 15:00
Location: SAWB 422 and online -- https://uofglasgow.zoom.us/j/86057258886?pwd=y2kOP3VMnErustCF9dtN6hHIVZ4VvH.1

The widespread use of smartphones has made it common for us to communicate using images in our daily lives. Furthermore, in recent years, images are used not only for communication between humans, but also for various advanced decisions using AI. Degradation of these images due to noise generated during image acquisition and compression coding can degrade the quality of communication using these images and the recognition accuracy of AI.
This presentation will introduce the results of research to date related to estimating the perceptual quality of images containing degradation and removing the degradation. Mathematical optimization such as tensor restoration, as well as how deep learning, especially diffusion image generation models and vision language models, can be applied to this task will be explained in detail.

Upcoming events

Network Infrastructure to Realize City as a Service

Group: Systems Seminars
Speaker: Sumiko Miyata, Tokyo Institute of Technology
Date: 09 September, 2024
Time: 14:00 - 15:00
Location: SAWB 423 and online -- https://uofglasgow.zoom.us/j/86057258886?pwd=y2kOP3VMnErustCF9dtN6hHIVZ4VvH.1

My research area is network infrastructures to realize "City as a Service" in smart cities, where city services can be used like applications on a smart phone. In order to realize various services in City as a Service, large amounts of monitoring data need to be processed quickly and reliably. My research interests include traffic control and information security. In this presentation, we will describe network infrastructure technologies to realize City as a Service from the viewpoint of traffic control and information security.  
　This presentation will also introduce our efforts to realize a secure data management system using a start-up grant from the Tokyo Metropolitan Government, and examples of our participation in overseas exhibitions related to our proposed network infrastructure.

Temporal Evaluation for Large Language Models

Group: Information Retrieval (IR)
Speaker: Wei Zhao, University of Aberdeen
Date: 09 September, 2024
Time: 15:00 - 16:00
Location: Sir Alwyn Williams Building, 422 Seminar Room

Title:
Temporal Evaluation for Large Language Models

Abstract:
Temporal Information Retrieval (IR) has revolutionized the way we consume time-sensitive knowledge from large-scale web archives on the Internet. However, IR is not always efficient, especially when a query requests the need to gather information from multiple sources and compile it in a concise way. Recently, conversational IR such as Perplexity AI and SearchGPT, born from the marriage of Large Language Models (LLMs) and IR, has the potential to meet such complex information needs through a conversational interface. While interesting, conversational IR lacks temporal considerations, thereby limiting its wider applicability in the real world. In this talk, I will present a temporally grounded benchmark dataset followed by an empirical study on the temporal abilities of varying LLM families. Furthermore, I will shed light on the potential causes of model hallucinations in the temporal context.

Bio:
Wei Zhao is currently a tenured Lecturer in NLP at the University of Aberdeen in Scotland, and also holds a Lectureship (Lehrauftrag) in Computational Linguistics at the University of Heidelberg in Germany. Before that, he was a postdoctoral researcher at the Heidelberg Institute for Theoretical Studies, affiliated with Research Station "Geometry + Dynamics” at the University of Heidelberg, supported by a Young Marsilius Fellowship and the Klaus Tschira Foundation. He earned his PhD at the AIPHES Training Group from Technische Universität Darmstadt, supported by the German National Funding. His research interests lie in a dual perspective on Large Language Models (LLMs), namely research in LLMs as a subject of study and using LLMs as a means for research in digital humanities. His current projects are partly funded by Google and the Royal Society of Edinburgh.

Estimating and improving image quality for humans and AI using optimization, generative models, and vision language models

Group: Systems Seminars
Speaker: Takamichi Miyata, Chiba Institute of Technology
Date: 10 September, 2024
Time: 14:00 - 15:00
Location: SAWB 422 and online -- https://uofglasgow.zoom.us/j/86057258886?pwd=y2kOP3VMnErustCF9dtN6hHIVZ4VvH.1

The widespread use of smartphones has made it common for us to communicate using images in our daily lives. Furthermore, in recent years, images are used not only for communication between humans, but also for various advanced decisions using AI. Degradation of these images due to noise generated during image acquisition and compression coding can degrade the quality of communication using these images and the recognition accuracy of AI.
This presentation will introduce the results of research to date related to estimating the perceptual quality of images containing degradation and removing the degradation. Mathematical optimization such as tensor restoration, as well as how deep learning, especially diffusion image generation models and vision language models, can be applied to this task will be explained in detail.

Research Skills for Innovation

Group: Glasgow Computing Science Innovation Lab
Speaker: TBC
Date: 17 September, 2024
Time: 12:00 - 14:00
Location: Advanced Research Centre 237C

At this GLACSIL event, academic and industry speakers will discuss the research skills they see as essential to successful innovation: how they hire, support, train, and develop, and prioritise those skills in their organisations. 

 

This is a hybrid event.

Zoom link: https://uofglasgow.zoom.us/j/87964952377?pwd=K0dWUGJVaXlROXczajNycldIa1hmUT09

SICSA REALLM Workshop 2024

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 17 October, 2024
Time: 01:00 - 01:00
Location: Robert Gordon University, United Kingdom

Announcing the SICSA Reasoning, Explanation and Applications of Large Language Models (REALLM) Workshop 2024 at Robert Gordon University, Aberdeen. The SICSA REALLM workshop will provide a forum to share exciting research on LLMs. Our goal is to foster connections among SICSA researchers interested in NLP and Generative AI by highlighting and documenting promising approaches, and encouraging further work. We expect to draw interest from AI researchers working in a number of related areas including NLP, ML, reasoning systems, explainable artificial intelligence, conversational AI and applications of generative AI. The SICSA REALLM Workshop Organisation Committee would like to invite submissions of novel theoretical and applied research targeting LLMs. Example submission areas include (but are not limited to): • Novel architectural updates to large language models, including those targeting the integration of reasoning and and retrieval components. • Evaluation and/or explanation of language modelling tasks, including novel metrics or methods for assessing model output. • Applications of LLMs within new domains, including fine-tuning or adaptation of existing models. Accepted papers will be considered for publication through CEUR. Please see the workshop website for further information and submission instructions. Registration for the workshop is free. To register, please complete our registration form. We look forward to welcoming you at RGU!

GLACSIL - Topic TBC

Group: Glasgow Computing Science Innovation Lab
Speaker: TBC
Date: 29 October, 2024
Time: 12:00 - 14:00
Location: Advanced Research Centre

TBC

 

Location - Advanced Research Centre, Suite 2

This is a hybrid event.  Zoom link: https://uofglasgow.zoom.us/j/84750210682?pwd=a25kTTVPRldYeVdWVG9pU3lGc2dQZz09

CENSIS Tech Summit 2024

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 14 November, 2024
Time: 00:00 - 00:00
Location: TBA

Join us in Glasgow for Scotland’s premier sensing, imaging and IoT event Whether you’ve been to every Summit or will be attending for the first time, you are warmly invited to join us at our CENSIS Tech Summits. Hear about new innovations, challenges and solutions Meet exhibitors showcasing new technologies and products Understand how businesses are delivering digitalisation across a range of markets Network and connect with key business people, policy makers and researcher

The 35th British Machine Vision Conference

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 25 November, 2024
Time: 00:00 - 00:00
Location: Scottish Event Campus, Scottish Event Campus, Glasgow, United Kingdom

The British Machine Vision Conference (BMVC) is the British Machine Vision Association’s (BMVA) annual conference on machine vision, image processing, and pattern recognition. It is one of the major international conferences on computer vision and related areas held in the UK. With increasing popularity and quality, it has established itself as a prestigious event on the vision calendar. Find out more details on the MBVC 2024 Conference Website.

ACI 2024 - The Eleventh International Conference on Animal-Computer Interaction

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 02 December, 2024
Time: 00:00 - 00:00
Location: TBA

ACI is the leading International Conference on Animal-Computer Interaction. It is a highly multidisciplinary event drawing researchers and practitioners from diverse backgrounds to share and discuss work and topics related to the research and design of computing-enabled and interactive technology for and with animals. We are keen to be as inclusive as possible. We wish to welcome a wide range of contributions and participants to the conference, promote a constructive dialogue around the animal-centred research and design of computing-enabled systems, and foster the development of ACI as a discipline. The conference is open to contributions from researchers and practitioners in a wide range of fields, including (but not limited to) ethics, behavior analysis, psychology, veterinary behavior, zoology, ethology, interaction design, computer science, and electrical engineering. Find out more about the conference and submission deadlines.

1st International Workshop on Low carbon Computing (LOCO 2024)

Group: Scottish Informatics and Computer Science Alliance (SICSA)
Speaker: SICSA Event, SICSA
Date: 03 December, 2024
Time: 00:00 - 00:00
Location: Advanced Research Centre (ARC), 11 Chapel lane, Glasgow, G11 6EW, United Kingdom

The 1st International Workshop on Low Carbon Computing (LOCO 2024) will bring together researchers and practitioners with a keen interest in low carbon and sustainable computing. The workshop will provide a forum for sharing new ideas, for presenting ongoing work and early results, as well as for bringing forward well-founded criticism. LOCO 2024 is an initiative of the Scottish Programming Languages Institute (SPLI), supported by the Scottish Informatics and Computer Science Alliance (SICSA), and was inspired by the Programming for the Planet (PROPL) workshop. View more information and register online.

GLACSIL Industrial Studentship Showcase

Group: Glasgow Computing Science Innovation Lab
Speaker: TBC
Date: 03 December, 2024
Time: 14:00 - 17:00
Location: Advanced Research Centre 237C

At this event we'll celebrate the work and achievements of the industrial research students sponsored by GLACSIL partners via talks, technology demonstrations, plus festive drinks and nibbles. 

Further details will be added in due course. 

 

This is a hybrid event. Zoom link:  https://uofglasgow.zoom.us/j/85920553642?pwd=endpSlhESjMxcFJmQUNPb3p0SENjZz09

GLACSIL Industrial Studentship Showcase

Group: Glasgow Computing Science Innovation Lab
Speaker: TBC
Date: 03 December, 2024
Time: 14:00 - 17:00
Location: Advanced Research Centre 237C

We'll celebrate the work and achievements of the research students sponsored by GLACSIL members via a series of talks and technology demonstrations.

Further details to follow.

This is a hybrid event.  Zoom link: https://uofglasgow.zoom.us/j/85920553642?pwd=endpSlhESjMxcFJmQUNPb3p0SENjZz09

Past events

To view past events, please click here

Events Webapp