KateMcC

MARKET NEED Blockchain may be one of the most revolutionary technologies to arise in the last decade, with the potential to transform many industries. Blockchain a pplications centre around the management of value through the use of programs called smart contracts. Value on a blockchain can take many forms including currency, real world assets, identity and credentials. Smart contracts are used to enforce contractual agreements, often using triggers from outside the blockchain to transfer value. A commonly used smart contract in the context of cryptocurrencies is the transfer of money between accounts. The aim of this project was to [...]

MARKET NEED From  object recognition to machine translation, deep learning is being used to automate many complex tasks due to its impressive performance. However, training a deep learning model for a new dataset is challenging. The number of potential deep learning models to fit a dataset is large due to the required complexity to learn the direct mapping from raw input to output, hence expertise is needed to find a suitable deep learning model among many candidates. TECHNOLOGY SOLUTION We  created a demonstrator to allow industry partners to apply deep learning on new labeled datasets in an intuitive manner; it has a simple user interface to facilitate [...]

MARKET NEED Many companies face an increase in data volume of unstructured text documents from customer feedback (surveys, customer support, chatlines, correspondence) or from company-specific documentation. There is a need to quickly understand the content of such data and its main topics. User-tagging of large volume of text data entries is expensive, time-consuming and user-dependent. A solution is to automatically assign tags to such datasets. Tags can be extracted directly from the text data or can represent text content at a semantic level. Tags can have multiple uses: Re-structuring data collections to support classification of data; Information retrieval based on new and more [...]

MARKET NEED  Time Series are used in many business areas, such as finance, health, environment and energy. Daily sales, weekly orders, monthly overhead or yearly income are all examples of Time Series information. Formally, a Time Series (TS) is a sequence of values for a variable with associated timestamps. The series represents the variation of this variable over a period of time. Analysing time series information is complex. State-of-the-art tools require expert knowledge to produce reliable, efficient and useful reports. The ASAP demonstrator removes this obstacle by providing an easy to use, intuitive and interactive environment which allows visualisation, [...]

MARKET NEED Graph data plays an important role in big data analysis, and there are an increasing number of companies showing particular interest in being able to derive insights from this type of data. Graph data contains information about relationships among data points. Thus, useful insights can be mined in certain use cases where relationships matter. One major limitation of existing graph data analysis tools is that they require an understanding of many complex concepts and terms such as centrality, modularity, motif finding etc. which are not readily familiar even for data analysts. The EXPERTS project provides a use-case based [...]

MARKET NEED Novel business applications use raw, real-life or online data that contains various types of errors. Existing data cleaning platforms lack automation and require high-levels of expert interaction. Hence, identifying and correcting erroneous data is expensive, requiring analysts’ expertise and ad-hoc solutions. There is a real need for solutions that help to automate data quality investigation and where appropriate automated correction of data. TECHNOLOGY SOLUTION Our solution automates the data correction process with an easy to use interface that sits over state of the art algorithms for: Data cleaning Anomaly detection for time-series data, and Advanced methods [...]

MARKET NEED A common problem faced by companies with complex work processes is how to ensure that the best use and configuration of resources is achieved.   In a process-driven environment, each object (e.g. customer, insurance claim, patient) is a participant in a process, competing against other cases for resources resources. Business need to be examine what-if scenarios on replicas of their real-life business scenarios – combining the domains of simulation with process mining  – to enable low-risk low-cost process optimisation testing. TECHNOLOGY SOLUTION SimXpert tool generates visualisations of live business processes from logs of actual system events.  Visualisations display bottlenecks [...]

Market Need Although a research area since at least the 1980s, RL has recently attracted interest due to breakthroughs such as Deepstack, a recent algorithm able to defeat professional poker players or an algorithm from DeepMind which is claimed to reduce the energy bill of Google data centres by 40%. However, RL can be complex and challenging to understand. The application we created is aimed at making RL technology more accessible to industry. Our application explains in a friendly and understandable way how DQN and its main parameters work. Since the benefits of RL are potentially enormous, the [...]

MARKET NEED All industries are now collecting large volumes of data from diverse sources. However, when developing a predictive analytics application it is challenging to know how best to utilize these different data modalities. Deep Learning has become the mainstream machine learning method due to its impressive performance in many applications. However, multimodal deep learning research currently focuses on only very specific settings. The project explores the use of deep learning to integrate heterogeneous data sources in a single predictive model for better performance. TECHNOLOGY SOLUTION We implemented a multimodal deep learning library: That allows users to create [...]

MARKET NEED XPlainIT is about opening the “black box” decision making of machine learning algorithms so that decisions are transparent and understandable. The users of this capability to explain decisions are data-scientists, end-users, company personnel, regulatory authorities, or indeed any stakeholder who has a valid remit to ask questions about the decision making of such systems. The focus of XplainIT is on Deep Learning Models for structured data. TECHNOLOGY SOLUTION XPlainIT is a Web-based tool which offers a series of functionalities for explaining the decision-making process of Deep Learning models applied to structured data in a user-friendly manner, [...]

MARKET NEED There is an information overload from unstructured text used as business leads (knowledge on customers, markets  or technologies) from which users need to find the Facts:  the relevant Entities, the Links between Entities and their evolution. Extracting practical information from text is a complex task requiring human understanding of semantics. The Knowledge Graph (KG) technologies bring a competitive edge as part of the Semantic Web. KGs can capture the network of Relationships between Entities in a graph structure, while also building a Knowledge Base (KB), designed to enable automated reasoning. Existing open-access industrial knowledge graphs have mapped billions of entities from large scale web [...]

MARKET NEED Information contained in text documents is central to the legal profession e.g. contracts, end user agreements, industrial regulations etc. Text Analytics and Natural Language Processing (NLP) allow for the automatic extraction and processing of information from text documents. These techniques are increasingly being applied to legal tasks such as contract drafting, automatic compliance checks and extraction of contract elements e.g. contract start and end dates. TECHNOLOGY SOLUTION CeADAR’s Text Analytics for Contract Understanding demonstrator application shows how these techniques can be applied to the real world task of mobile app privacy policy analysis. The demonstrator allows [...]

MARKET NEED As we are moving towards a digital society, our world has become more and more connected. This seamless connectivity has transformed and accelerated the way business is conducted, but it also increases exposure to cyber threats. The main problem when dealing with modern cyber attacks is the sheer amount of data which passes through a computer system, the complexity of automatic attacks, as well as the high frequency of attacks. This project explores applying Machine Learning to the problem of malware detection – the most prevalent cyberthreat. TECHNOLOGY SOLUTION We developed a machine learning library to [...]

MARKET NEED Earth Observation (EO) is a booming industry with many wide ranging applications. The sheer volume and complexity of EO data requires the application of novel AI algorithms. AI-based computer vision models have been emerging as effective and efficient tools to analyse and extract essential insights from EO imagery data. However, applying such models to EO imagery requires access to large training datasets, as well as relevant machine learning and satellite imagery skills, making it difficult for researchers, scientists, and companies to develop or test their use-cases. TECHNOLOGY SOLUTION We developed a flexible pipeline that integrates and [...]

MARKET NEED Natural language Processing (NLP) combined with machine learning has been used for many applications such as sentiment analysis, topic modelling, document categorisation, spam detection, fake news identification, and chatbots. Explaining why a machine learning model made a particular decision is key to trusting AI based systems as well as complying with legislation such as the GDPR. Although a number of different explainable machine learning libraries and tools have been developed, it is often unclear as to which to use in different scenarios, and how these work specifically in the context of text data. TECHNOLOGY SOLUTION The [...]

MARKET NEED ULfAD explores unsupervised learning techniques for anomaly detection. The idea is to find patterns of interest such as outliers or exceptions that deviate from normal data behaviour. Nowadays the early detection of these unexpected and rare events is an important part of a business because it helps to reduce the downtime of the processes, reduce money lost preventing equipment damage and allowing make corrective decisions more quickly. TECHNOLOGY SOLUTION ULfAD is a web-based tool that offers three state-of-the-art methods for anomaly detection based on unsupervised learning schemes in a user-friendly manner: Three cutting-edge methods: Self-Organising Maps (SOM), Autoencoders [...]