If you have been reading this blog for some time, then you may recall the curious story of Anthropic’s AI Claudius, an early experiment into agentic AI. Anthropic ran a test of their Claude AI, allowing it to run a little business, specifically their office vending machine. Claudius, as the agent was named, was given…
Nobel Laureate Richard Feynman said that “no one understands quantum mechanics”, despite his having delivered a famous set of lectures on the subject. Despite this drawback, many companies, such as Google, IBM and others, are now building small, early working models of quantum computers, which promise to solve certain classes of mathematical problems drastically faster…
We usually think of AI running on web-connected servers in the cloud somewhere, but what about AI running on a stand-alone device, not connected to the internet? There are actually more examples of this than you may realise. To start with, security cameras detect motion or objects locally without sending data to the cloud. Self-driving…
Although the USA and China are the current artificial intelligence (AI) superpowers, Germany actually employs 14% of all AI workers in Europe, second only to the UK, which employs 24% of them. There are over 900 AI startups in Germany at the time of writing, up from 687 in 2024. The main clusters are in…
What is best practice for organisations deploying AI in the enterprise? In this blog we examine the organisation, governance, architecture, processes, culture and technology needed for effective AI deployment. To begin with, an organisation needs to consider why it is considering deploying AI in the first place, just as it would with any new technology.…
From the invention of gunpowder to the machine gun and tank, the military has always been an early adopter of the latest technological innovations. Computing has had a major impact on warfare ever since Alan Turing’s Bombe machine was used to crack the German Enigma cyphers in World War II. The driverless taxis from Waymo…
The release of ChatGPT in November 2022 opened the eyes of most of the world to the power of large language models (LLMs). This is the core technology that underpins ChatGPT and its rivals Claude, Gemini, Perplexity, etc, as well as their image-generating cousins Midjourney, Leonardo, Imagen, Firefly and Sora. Excitement about LLMs reached a…
Artificial intelligence requires plenty of computing power. Large language models (LLMs), the technology underlying generative AI tools such as ChatGPT, require vast amounts of data to train on, and in turn, this training requires massive computing power. Executing a prompt in an AI chatbot requires processing power, and it is estimated that executing an AI…