Some Articles I've Written
This is an Overview of How the Customer Support Team Created a Sorting System Using Data Analysis
This article provides an in-depth look at how the customer support team utilized data analysis to create an efficient sorting system. It covers the challenges faced, the methodologies used, and the outcomes achieved.
Small Is Beautiful
This report explores the concept of "Small Is Beautiful" in the context of machine learning. It discusses the benefits of smaller models, their efficiency, and their potential applications.
True TinyML with Weights & Biases: Wake Word Detection
This report delves into the implementation of TinyML for wake word detection. It highlights the techniques used, the performance metrics, and the practical applications of this technology.
Some Articles, Sites, People & Resources
Cohl Furey
A pioneering mathematical mind who has been doing some fascinating research into Octonion number system and has a
developed a useful resource explaining the difference between Real, Complex, Quaternion and Octonion number systems.
Does AI Have Gender?
Professor Gina Neff's lecture on the gendering of AI is an interesting example of the ethical considerations of how we gender machines according to the role they play in human life.
Towards Solving a Problem in the Doctrine of Chances
G. A. Barnard, T. Bayes, Towards Solving a Problem in the Doctrine of Chances, Studies the History of Probability and Statistics: IX., Biometrika, Vol. 45, No. 3/4 , pp. 293-315 (23 pages), Oxford: Oxford University Press, Dec, 1958. Thomas Bayes's orgional essay posthumously published on now widely used algorithms. Intriguing to note that experiments conducted with billiard balls by an amature mathematician, who did not think to publish his own work, would come to have such significance.
How artificial intelligence will change the future of marketing
Jornal of the Academy of Marketing Science, 48, 24–42 (2020). Davenport, T., Guha, A., Grewal, D. et al.
A useful and current scoping paper on how AI is changing the landscape of marketing and consumer behavior.
In AI We Trust: Ethics, Artificial Intelligence, and Reliability
Ryan, M. In AI We Trust: Ethics, Artificial Intelligence, and Reliability. Sci Eng Ethics (2020)
Recently published and examining human AI relations, an important field if humans and machines are to build trust required for AI to be effectively embedded within teams. One thinks of R. Burns poem, To a Louse:
'Oh, would some Power give us the gift,
To see ourselves as others see us!'
Springer's Journal of Complex Systems Modeling
K. Raiyani, T. Gonçalves, L. Rato, P. Salgueiro, and J. R. M. da Silva, “Sentinel-2 image
scene classification: A comparison between sen2cor and a machine learning approach,” Remote Sensing, vol. 13,
no. 2, pp. 1–22, Jan. 2021, doi: 10.3390/rs13020300.
P. Helber, B. Bischke, A. Dengel, and D. Borth, “EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
Land Cover Classification,” Aug. 2017, [Online]. Available: http://arxiv.org/abs/1709.00029
L. Salgueiro, J. Marcello, and V. Vilaplana, “Single-image super-resolution of sentinel-2 low resolution bands with
residual dense convolutional neural networks,” Remote Sensing, vol. 13, no. 24, Dec. 2021, doi:
10.3390/rs13245007.
V. Mazzia, A. Khaliq, and M. Chiaberge, “Improvement in Land Cover and Crop Classification based on Temporal Features
Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN),” Apr. 2020, doi:
10.3390/app10010238.