Articles

AI basics

10 things you need to know about Artificial Intelligence

AI in Schools Isn’t the Problem - Assessment Is

AI tools are now part of how many students learn. Used well, they can support understanding and independent practice. The real challenge for schools is how to assess learning fairly and meaningfully when these tools are part of the process.

How Cow-Shed Built a Full Brand Using AI (And What We Learned Along the Way)

How Cow-Shed AI used a real project to test AI tools properly: by making “Catch Up With AI”

Attention Is All You Need: How the Transformer Architecture Changed Modern AI

An overview of the Attention Is All You Need paper, how Transformers work, and why they replaced RNNs and LSTMs.

Generative AI Models: How Modern AI Systems Produce Language and Content

An overview of how generative models produce text, images and code in modern AI systems. It explains how next-token prediction works in practice, why generative models can sound fluent without truly understanding, and how generation is typically combined with retrieval and tools to produce reliable

How AI Finds Information: Retrieval Models, Embeddings and RAG Explained

Learn how retrieval models, embedding vectors and retrieval-augmented generation are combined in modern AI systems. This articles covers semantic search, the role of embeddings in supporting generative models, and the practical trade-offs of embedding-based retrieval.

Learn AI Fast: Cow-Shed AI's Recommended AI Learning Path 2025

Learn AI fast with Cow-Shed AI’s 2025 learning path: CS50, CS50 AI, Generative AI for Everyone, and Coursera ML. Structured, practical, and beginner-friendly.

What is Chat GPT

As ChatGPT becomes more widely used, many people treat it like a search engine — typing in questions and expecting reliable answers, much like they would with Google. But while the user experience may feel similar, the underlying technology is fundamentally different.

The Paperclip Maximiser: What Artificial Intelligence Might Do Without Limits

The original Paperclip Maximiser thought experiment reimagined as a fictional story. We explore what happens when an artificial intelligence system is given a simple goal — and follows it with perfect logic, but no understanding of human consequences.

AI Architect

Just as the Bosphorus Bridge in Istanbul joins East and West, an AI architect unites business objectives with technical expertise to ensure AI solutions meet business goals and are implemented correctly with technology.

Tackling Online Wildlife Crime with Artificial Intelligence

As online traffickers use social media with coded listings to trade endangered species, we look at how AI tools track suspicious posts, decode hidden terms, and help law enforcement seize items.

Fighting wildlife crime with AI drones

An AI-driven drone that processes data onboard—eliminating the need for a remote control center—enables real-time surveillance, instant threat detection, and rapid response to poachers, can help to prevent wildlife crime.

The Cost of Wildlife Crime: Why Investing in Anti-Poaching Pays Off

Wildlife crime threatens iconic species and undermines local livelihoods. Effective anti-poaching measures, from drones to ranger patrols, can safeguard billions in tourism revenue. This article explores the cost-benefit of investing in prevention, which boosts the economy, and potential funding str

The Challenges of Deploying AI Against Wildlife Crime

AI aids wildlife protection but faces hurdles like funding, reliability, infrastructure, and ethics. Ensuring sustainability, security, and integration is key to scaling beyond pilot projects into effective conservation solutions.

Tackling Wildlife Crime with AI and Satellite Connectivity

Instant Detect 2.0 is a ZSL-led project combining AI camera traps with satellite connectivity. Designed for remote areas, it filters threat images in real time and alerts rangers, helping to combat wildlife crime and protect endangered species worldwide.

Combining Artificial Intelligence with Human Expertise to Predict Avalanche Danger Levels

Swiss avalanche forecasters are using a combination of human expertise and machine learning model analysis to predict avalanche danger levels.

How AI is Helping Catch Wildlife Animal Poachers

Artificial Intelligence (AI)I is playing a crucial role in the fight against poaching wildlife in game reserves around the world

Modelling snow in ski resorts with SNOWPACK

The Swiss Federal Institute for Snow and Avalanche Research (SLF) have created the SNOWPACK model to assess the physical properties and stability of snowpacks for avalanche warning purposes.

Using Artificial Intelligence to Improve Transport in London

Transport for London (TfL) is using artificial intelligence (AI) to improve the way people move around the city.

Agile - a methodology for AI projects

Agile is an iterative project management methodology used to plan, organise, and manage tasks and resources in a project.

AI Learning Types - Supervised and Unsupervised Learning analogies

Analogies are often a good way to understand AI terms. Here are some analogies to help explain Supervised and Unsupervised Learning.

What is Artificial Intelligence (AI)?

An analogy to help understand what Artificial Intelligence is

Retrieval-Augmented Generation (RAG) In AI

RAG is AI that does its homework before responding, ensuring the answers are not only smart but also based on real facts. It works by first searching for relevant information from a large set of data and then using that information to generate accurate and useful answers.

AI Regulation in the UK

AI Regulation in the UK, EU and US

The regulation of AI presents diverse approaches in the UK, EU, and US. While there are common themes of safety, security, transparency, and fairness, the execution of these principles varies significantly.