Speaker name: Prof. Steve Furber Abstract: The SpiNNaker project, now offered as one of two neuromorphic platforms supported by the European Union ICT Flagship Human Brain Project, is a digital many-core computer incorporating a million mobile phone processors optimised for real-time brain-modelling research applications. The design of the machine is very much influenced by the biological... Read more »

Speaker name: Dr. Paolo Costa Abstract: Data centers are the infrastructure providing access to online services such as Amazon, Google Search, Facebook, and Office 365 for hundreds of millions of users around the world. They comprise hundreds of thousands of servers interconnected by a fast network fabric. The network is therefore a critical component of... Read more »

Speaker name: Dr. Benedict Gaster Abstract Internet of Things is an area of active interest, some people predicting a million unique devices in the next 5 years, all sharing a common lineage low-power and censoring the world. If this is really the case, then these devices must be designed and built by more than professional programmers and system architects! In... Read more »

S-REPLS Seminar Slides Speaker name: Dr. John Wickerson Abstract A memory consistency model (MCM) is the part of a programming language or computer architecture specification that defines which values can legally be read when a thread in a concurrent program reads from a shared memory location. Because MCMs have to take into account various optimisations employed... Read more »

Speaker: Steven Hutt Seminar title: Deep Learning Financial Market Data Abstract: An introduction to learning patterns in financial market data Slides

Speaker name: Nikolaos Aletras Abstract: Automatically inferring user demographics in social networks is useful for both social science research and a range of downstream applications in marketing and politics. Our main hypothesis is that language use in social networks is indicative of user attributes. This talk presents recent work on inferring a new set of... Read more »

Speaker name: Nikolaos Aletras Automatically inferring user demographics in social networks is useful for both social science research and a range of downstream applications in marketing and politics. Our main hypothesis is that language use in social networks is indicative of user attributes. This talk presents recent work on inferring a new set of socioeconomic... Read more »

Abstract The following main challenges at the interface of automation technology, process technology and information technology will be discussed: Models within the life-cycle Vertical integration from ERP (Enterprise Resource Planning) to actuator and vice versa Horizontal integration requirements for highly reliable solutions Human Machine Integration For all of these challenges the state-of-the-art and current BASF... Read more »

The aim of this lecture is to provide an industrial perspective on Model Predictive Control with emphasis on: Important practical requirements Practice-proven solutions and approaches Understanding the required efforts in terms of time and money Differentiation between state of the art, state of science and vision (= inspirations for further developments) Lecture outline Motivation Model... Read more »