Dr Ihsan Ullah, Head of Special Projects group at CeADAR present his paper Coyote: A Dataset of Challenging Scenarios in Visual Perception for Autonomous Vehicles video recording in AISAFETY Workshop in 30th International Joint Conference on Artificial Intelligence (IJCAI-21). Presentation starts at 29:37
Date: July 8 at 11 am Irish time Speaker: Dr Alireza Dehghani Title: EdgeML: machine learning at the edge, are we ready for this rapidly growing technology? Abstract: Edge Machine Learning (EdgeML) is known as a rapidly expanding field of machine learning technologies and applications that encompasses hardware, software, and algorithms. But are we, as [...]
Date: 20 May 2021 Speaker: Inder Preet Title: Edge AI Abstract: EdgeAI explores the whole pipeline of an edge AI project from creating and training a neural network to pruning and quantizing it. Also, it creates embedded code to deploy the network on an edge device. Edge AI is predicted to be used in [...]
Date: 20 May 2021 Speaker: Naser Razavi Title: Machine Learning for Green Energy Abstract: ML4GE explores machine learning techniques to analyse smart-meter data. The idea is to use deep learning based clustering approaches to find similar energy consumption patterns and to put these similar patterns in the same group or cluster and then use these [...]
Date: 20 May 2021 Speaker: Michael Spence Title: AI for Bill Reduction Abstract: AI for Bill Reduction investigates the use of AI for the task of optimising energy usage in both commercial and domestic settings. The idea is to use reinforcement learning (RL), given the potential it has shown in solving complex optimisation problems. Businesses [...]
Date: 24th June at 11AM Speaker: Dr Bujar Raufi Title: State of the Art on Personalisation and Human Mental Workload Abstract: Data procreation on the Web has changed how users interact with it as an information space. This does not only profoundly change the user experience; it also obstructs the interaction by creating a degree [...]
Date: 20 May 2021 Speaker: André Rios, Eren Aktas and Dr Bojan Bozic Title: Unsupervised Learning for Anomaly Detection Abstract: The purpose of this project is to investigate unsupervised learning techniques for anomaly detection - particularly for utilizing self organizing maps and auto-encoders. The ideal outcome of the project is a comprehensive state of the [...]
Date: 10th June at 11AM Speaker: Dr Andrés Fuster-Guilló Title: Tech4Diet. RGB-D-Based Framework to Acquire, Visualise and Measure Human Body for Dietetic Treatments. Abstract: The "Tech4Diet" project (tech4d.dtic.ua.es) is aimed at improving adherence to dietetic-nutritional treatment using state-of-the-art RGB-D sensors and virtual reality (VR) technology. Recent studies show that adherence to treatment can be improved [...]
Date: 22 April 2021 Speaker: Amir Taghizadeh Vahed Title: Computer Vision Application to Provide for a Safer Working Environment Abstract: Due to injuries caused by incorrect postures, higher numbers of sick leave will occur, particularly in the industrial working environment. As an indirect cost, incorrect postures cause lower motivation and higher stress among workers. The [...]
Date: 16th April 2020 Title: Real AI Application in Manufacturing About: This virtual event was organised by CeADAR and the DIH-World EU project as a series of community days. These events aim to showcase the real problems in manufacturing and what Digital Innovation Hubs (such as CeADAR) can provide to support companies in this vertical [...]
