Stay ahead with our in-depth blog series on the newest frontiers in artificial intelligence. Explore emerging topics such as AI security, agentic AI systems, and the quest for explainable AI. Learn how innovators tackle ethical risks, design autonomous agents, and enhance model transparency and accountability. Get actionable insights into regulatory trends, technical breakthroughs, and real-world examples that shape tomorrow’s intelligent systems.
What if a cardboard sign could cause a self-driving car to crash—or force a drone to land immediately? Recent research shows that misleading text placed in a robot’s visual field can have potentially dangerous real-world consequences. One of the more established use cases for AI has been in robotics, with the first AI-driven robot, called…
For the last three years or so, generative AI, powered by large language models (LLMs) have been pushed by vendors and consultants as the ultimate automation tool. Previous waves of AI have struggled to make a lasting impact outside of niche applications, as IBM found out with its Watson AI tool. A much-publicised flagship Watson…
In June 2025, Linus Torvalds, the inventor of Linux and Git, was asked about “vibe coding”, where non-programmers use large language models to write code. He memorably described it as “Very Inefficient But Entertaining”. However, the world of AI is far from static, and the release of Claude Opus 4.5 in November 2025 seems to…
It is now just over three years since ChatGPT was launched publicly by OpenAI, and ignited a wave of interest in AI and huge investment in companies providing AI products and services. OpenAI itself has been publicly pondering a 2026 IPO at a potential valuation of $750 billion or more. NVIDIA, which makes the specialist…
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…
The world of technology moves rapidly, and it is hard to build a sustainable competitive advantage. Just ask Blackberry (business smartphones), Nokia (mobile phones), Yahoo (search), AOL (email and chat), MySpace (social network) and Kodak (film). Technology companies seek to build a “moat”, a durable competitive advantage that is hard to copy. Such a moat…
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…
One mantra regarding large language models (LLMs) is that bigger is better. Parameters are the learned weights of a model, while tokens represent the pieces of text used to train it. The more training tokens an LLM sees, the more fluent the answers it produces. This assumption that bigger is better is what has driven…
There are a range of security concerns associated with large language models (LLMs), which are the basis of popular artificial intelligence (AI) chatbots like ChatGPT, Claude and Gemini. For one thing, the chatbots themselves are vulnerable to malicious prompts from anyone who interacts with them. Such “prompt injection” attacks can cause LLMs to behave in…