Nick Wu will give a talk, in person and online, for the Coffee House Tech Talk Series.  The details of the talk are below. A lunch will be provided after the talk.   Title: Modular Models of Monoids with Operations When : 28 Mar 2023, 11am-12nn Where (Physically) : Coffee House, 4/F, Bayes Centre, 47 […]

Date Thursday 27th October @ 14:00 – 15:00 (UK time) Presenter Prof. Haris Volos Affiliation University of Cyprus Location Bayes center G.03 Online link: TBD Note: this is a talk open to the public. Abstract Persistent memory has emerged as a key persistence programming model for non-volatile memory technologies, such as Intel Optane Persistent Memory. […]

by Beniamino Accattoli (INRIA) and Giulio Guerrieri (Huawei Edinburgh, PL team) The denotational semantics of the untyped lambda-calculus is a well developed field built around the concept of solvable terms, which are elegantly characterized in many different ways. In particular, unsolvable terms provide a consistent notion of meaningless term. The semantics of the untyped call-by-value […]

Date Thursday 9 June @ 09:30 – 10:30 (UK time) Presenter Maciej Besta Affiliation ETH Zurich Location [Online] Meeting link: https://welink.zhumu.com/j/158022218   Abstract Graph neural networks (GNNs) are among the most powerful tools in deep learning. They routinely solve complex problems on unstructured networks, such as node classification, graph classification, or link prediction, with high […]

Taming Large Intermediate Results for Joins over Graph-Structured Relations Date: 26th April 2022 Time: 14:00 – 15:30 Location: Virtual   Abstract: Querying graph-structured relations, i.e., those with many-to-many (m-n) relationships between entities, is ubiquitous and integral to a wide range of analytical applications such as recommendations on social networks and fraud detection in financial transactional […]

The recording of “Prof Prakash Panangaden’s talk on Probabilistic Bisimulation and associated metrics” is now available using the link below:   https://ed-ac-uk.zoom.us/rec/share/mwX23U03YMrWZrTgEKl-jMbyAAdUnUULxBa32XnyFcDI9XkHPY54FSELDsnm9xI7.-Hb0fb6YP-bWqgTH   Professor Panangaden is conducting joint research in Edinburgh supported by the Huawei – University of Edinburgh Strategic Talent Programme.  

Professor Prakash Panangaden will review the concept of probabilistic bisimulation and its extension to systems with continuous state spaces.  Surprisingly, it turned out that one can prove a striking logical characterization theorem: a theorem that pins down exactly what differences one can ‘’see’’ in process behaviours when two systems are not bisimilar.  I will outline […]

Abstract:Lua is a scripting language widely uses in several fields, with strong niches in games and embedded systems. Pallene is a new language designed to be a companion language for Lua, that is, a system language specifically designed to interoperate with Lua in a scripting architecture.In this talk, Roberto will present the main features of […]

Abstract The recent development of IoT and smart spaces demand the availability of location context in every device and everywhere. However, improving the user’s experience under the “smart” schema contradicts the tedious calibration commonly operated to enable indoor positioning. Until now, modelling signal propagation, such as Bluetooth and WiFi, set the pillars for indoor positioning […]

Abstract Developing a new programming language, constructing a new domain-specific compiler, writing a new verification tool, optimizing a large application, designing a microprocessor, or verifying some of its components, all of these tasks require today a multi-year project. While most of the underlying problems are inherently hard and cannot be accelerated magically, we are additionally […]