Series

DLS: Scalable Intelligent Systems by 2025 (Carl Hewitt)

Venue: The Old Course Hotel (Hall of Champions) Timetable: 9:30 Lecture 1 10:30 Break with Coffee 11:15 Lecture 2 12:15 Break for Lunch (not provided) 14:15 Lecture 3 15:15 Discussion Lecture 1: Introduction to Scalable Intelligent Systems Lecture 2: Foundations for Scalable Intelligent Systems Lecture 3: Implications of Scalable Intelligent Systems Speaker Bio: Professor Carl DLS: Scalable Intelligent Systems by 2025 (Carl Hewitt)

SRG Seminar: “Efficient Cross-architecture Hardware Virtualisation” by Tom Spink

Virtualisation is a powerful tool used for the isolation, partitioning, and sharing of physical computing resources. Employed heavily in data centres, becoming increasingly popular in industrial settings, and used by home-users for running alternative operating systems, hardware virtualisation has seen a lot of attention from hardware and software developers over the last ten?fifteen years. From SRG Seminar: “Efficient Cross-architecture Hardware Virtualisation” by Tom Spink

Seminar: SMT, Planning and Snowmen

Professor Mateu Villaret, from Universitat de Girona is a visiting scholar with the AI group from July 1st until September 30th. Professor Villaret works on algorithms for routing and scheduling with the AI group at St Andrews. As well as solving practical problems, he also enjoys puzzle games. That is the basis of this talk, Seminar: SMT, Planning and Snowmen

DHSI Seminar Series

The school of Physics & Astronomy (Room 222) are hosting our next Digital Health Seminar 12.00pm – Lunch 12.20pm – Isla Rose & Mary Barnard Ultraviolet Radiation, DNA damage, and sunscreen 12.50pm – Lewis McMillan Monte Carlo radiation transfer model of laser tissue ablation 1.20pm –   Nicole Schanche Planet candidate detection and ranking using MachineLearning DHSI Seminar Series

Seminar: AI-augmented algorithms — how I learned to stop worrying and love choice

The speaker is Lars Kotthoff, previously a PhD student here, now and Assistant Professor at the University of Wyoming. All welcome.   Often, there is more than one way to solve a problem. It could be a different parameter setting, a different piece of software, or an entirely different approach. Choosing the best way is Seminar: AI-augmented algorithms — how I learned to stop worrying and love choice

SRG Seminar: “Application of Bayesian Nonparametric in household human activity recognition” by Lei Fang

Abstract In this talk, I will talk about the possibility of using Bayesian nonparametric clustering, or Dirichlet Process Mixture model to solve human activity recognition problem. In particular, I will discuss how the technique can be useful when the activity labels are not annotated and/or the activity evolves over the time. This initial study is SRG Seminar: “Application of Bayesian Nonparametric in household human activity recognition” by Lei Fang

SRG Seminar: “Introduction to Apache Mesos and the DataCenter Operating System” by Matt Jarvis

Abstract Data processing paradigms are undergoing a paradigm shift as we move more and more towards real time processing. Emerging software models such as the SMACK stack are at the forefront of this change, focused on a pipeline processing model, but are also introducing new levels of operational complexity in running multiple complex distributed systems SRG Seminar: “Introduction to Apache Mesos and the DataCenter Operating System” by Matt Jarvis