5 min read
Why end-user insight and operational context are the keys to understanding AI performance in the defence sector. In Defence and National Security, the scrutiny placed on AI systems and the bar for responsibility and accountability are heightened,...
6 min read
In defence and national security, the nature of problems and the environments in which they occur make operationalising AI hugely challenging. This is especially true of the maritime domain, where threats are becoming more prolific and advanced....
4 min read
In the maritime domain, gaining a better understanding of increasing volumes and higher fidelity sonar data has well-known and potentially game-changing advantages. Nevertheless, in complex problem spaces like those in defence and national security,...
14 min read
Around the world, at least 69 countries have proposed over 1000 AI-related policy initiatives and legal frameworks to address public concerns around AI safety and governance. Here’s what those AI regulations look like at the beginning of 2025...
5 min read
With its unparalleled ability to extract insight from burdensome volumes of raw data, AI is more than an opportunity to innovate. Nevertheless, this doesn’t make it the answer to every problem involving data. Even when applied to the right problems,...
6 min read
This article examines how two technologies that are not well understood can be highly valuable in the future. Quantum Computing and Large Language Models.
5 min read
In the previous two blogs in the series, we addressed what makes machine learning models trustworthy and how machine learning models fail. This blog is focused on how machines learn and one particular approach called meta-learning, which enables...
5 min read
AI is everywhere. It has rapidly become an integral part of how we organise our lives, go about our jobs, and get from place to place. And yet, in our discussions with customers, we often encounter a wide range of misconceptions about what AI...
4 min read
In our first blog in this four-part series, we discussed how Machine Learning (ML) models might be considered ‘trustworthy’, and we emphasised challenges in bias and fairness, the need for explainability & interpretability, and types of data drift....
7 min read
Last year, Mind Foundry worked closely with Professor Brent Mittelstadt (of the Oxford Internet Institute) to get a deeper understanding of the law, policy, and standards in development surrounding machine learning. The output of this work was an...
3 min read
There’s been a lot of talk about the development of large language models (LLMs) recently, with the loudest voices split between those who think it poses a significant risk to humanity and those who believe it could be the crowning achievement of...
5 min read
The past few months have shown us how quickly deep tech innovation, and especially advances in Artificial Intelligence (AI), can be developed and adopted at great scale. New AI tools have emerged at breakneck speed, opening up a range of...
