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Machine Learning Engineer and Researcher at Wallscope. Studying a PhD in Artificial Intelligence. Contact details at http://addlesee.co.uk/

Linked Data, Conversational AI and Computer Vision

I started writing on Medium in September 2018 as I believe knowledge should be shared and easily accessible for all. Since then I have written many articles and I have also started my PhD, so started to cover different topics that are of interest to different groups.

To make sure you can find my work relevant to your interests, I will keep this document updated with all my work organised by topic. Last updated: 6th May 2021.

I always announce new articles on other platforms also so if interested, you can find me on Twitter and LinkedIn.

I let Medium…


What We Learned at the European and African Summits in 2021

Edinburgh, Scotland is a hub of conversational AI - littered with startups, labs, established businesses, and University departments focused on the topic. As an industry-funded Conversational AI PhD Researcher, I was approached by Sydney to help organise the European Chatbot and Conversational AI Summit in Edinburgh.

Of course, the event was eventually hosted online due to COVID, but that just meant we could invite even more attendees to watch our fantastic lineup of speakers.

I also agreed to help organise the African event, the first of its kind! This event highlighted many wonderful applications of this technology in Africa, but…


Both Academic Research, and Implementation in Industry and the Public Sector

On the 12th of October I hosted the 7th meetup of the Scottish Linked Data Interest Group, otherwise known as SLiDInG 7.

SLiDInG 7 was supported by The Scottish Government and SICSA Data Science, and organised by Wallscope and Heriot-Watt’s Semantic Web Lab (SWeL).

We brought industry, academia, and the public sector together to share current work, ideas, and challenges around linked data in Scotland. In this article, I have shared some of this ongoing work to encourage discussion and collaboration.

If you would like to be involved, please take a look at the Conclusion below.

We begin with a…


Combining RDFox and Wallscope’s Platform

Photo from Unsplash - Edited by Felicity Mulford and Angus Addlesee

In 2012, the BBC famously used linked data to support coverage of the London Olympics on its website, app, and interactive video player. They have continued to champion the benefits of semantic technologies to this day.

Coincidentally, as I started to write this, the Tokyo 2020 Olympics were planned to be in full swing. Therefore only one topic can so aptly be chosen for this article: The Olympics.

I usually write linked data tutorials but in this article I write about fully developing a small project from a few disparate data sources to a complete dynamic dashboard. In order to…


Improving the Accessibility of Voice Assistants: Doing Things Right

This is a streamlined abridgement of my paper with Pierre Albert, published at LREC’s Workshop on Legal and Ethical Issues in Human Language Technologies 2020. If you use any of this guide in your research, please do cite our paper titled “Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments”:

Harvard:
Addlesee, A. and Albert, P., 2020. Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments. LREC Workshop on Legal and Ethical Issues in Human Language Technologies.
BibTeX:
@inproceedings{addlesee2020ethically,
title={Ethically Collecting Multi-Modal Spontaneous Conversations with People that have Cognitive Impairments},
author={Addlesee, Angus and Albert, Pierre}…


Can you read my…

Photo by Reuben Juarez on Unsplash

Introduction

Every single one of us will intermittently try to conjure the right word for a given moment, pausing mid-sentence to try and remember it. For example, forgetting the name of a place caused this hesitation:

“He was at that coffee shop on the corner called umm… Peppers”

We can all relate to this, but as cognition declines, these pauses become more common and more pronounced. As fellow humans, we’ll adapt and be patient, giving someone time to think—maybe even suggesting the completion as shown here:

A: “I got some fruit and…”
B: “vegetables?”
A: “Yeah, them. I need a coffee.”


Now is the time for home projects, where can you start?

As exams finish up and people start looking for new ways to spend their time indoors, it would be fantastic if developers got familiar with linked data!

When starting a side-project, I often head to somewhere familiar like Kaggle for a dataset to play with. These datasets are almost all in csv, json, or sql files that developers are already familiar with. To add a new type of data to your arsenal, I will run through some open linked data that you can use today.

If you are wondering what the value of learning this would be, here is why…


Combining dialogue & computer vision to assist in the kitchen

Photo by Amanda Lins on Unsplash

Introduction

Speaking to your home is no longer a sci-fi fantasy but a common part of everyday life for many. This is undoubtedly exciting, but the accessibility of voice assistants (Amazon Alexa, Google Assistant, etc…) is now more crucial than ever. In fact, assisting someone with a disability has a bigger positive impact than helping someone set a timer while baking.

With the aim to provide this kind of conversational assistance to those with visual impairments, a team of students have been working with the Interaction Lab at Heriot-Watt University. This two part series will explore their work.

We had planned…


Resizing, Filtering, and Convolutions

Welcome to part four of this series! These articles are standalone enough that you can dip in and out of them to find what you need. If you’re new to computer vision however, I recommend reading the previous parts:

I am writing these because I watched Joseph Redmon’s lecture series and wanted to share my notes for easy reference. If you have the time though, I do recommend watching this lecture here.

Hopefully my summaries are of use. I found this course useful with some of my projects at…


Image Basics: Storage, Color Spaces, and Manipulation

If you’re interested in human vision, read part 2 here.

Following what we learned about human vision, we’re now going to transfer some of that knowledge to computer vision (exciting right?!).

Very quickly, to quickly explain/recap this series, Joseph Redmon released a set of 20 lectures on computer vision in September 2018. As he’s an expert in the field, I wrote a lot of notes while going through his lectures. I am tidying my notes for my own future reference but am posting them on Medium also, to hopefully be useful for others.

If you have time, however, I highly…

Angus Addlesee

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