Generative AI in pharmaceutical development: from empirical screening to predictive design

Generative AI is revolutionising drug discovery, moving us from trial-and-error to intelligent design. Essentially, it’s about teaching computers to create new molecules, predict their behaviour, and optimise drug candidates before they even hit a lab bench. This shift means faster, cheaper, and more effective development of medicines. For decades, drug discovery was a bit like […]

92% of Students Use AI — 2x Learning Gains Prove It Works (When Done Right)

It’s true, a massive 92% of students are now using AI tools. And here’s the kicker: when these tools are used effectively, they’re demonstrably boosting learning outcomes, sometimes even doubling them. This isn’t just about cheating or finding shortcuts; it’s about leveraging technology to personalise learning, streamline tasks, and deepen understanding in ways traditional methods […]

What an AI-Native School Might Look Like

Alright, let’s dive into what an AI-native school might actually look like. Forget the sci-fi movie tropes of robots teaching kids; the reality is far more nuanced and, frankly, more practical. In essence, an AI-native school isn’t about replacing humans with machines. Instead, it’s about deeply integrating artificial intelligence tools and methodologies into every facet […]

TCM digitalization and GenAI: where functional segmentation matters

Alright, let’s dive into how Traditional Chinese Medicine (TCM) is grappling with the digital age, and more specifically, why just throwing Generative AI (GenAI) at it isn’t enough. The short answer is this: TCM’s complex, multifaceted nature means that effective digitalisation, especially with GenAI, hinges critically on understanding and addressing its various functional segments individually. […]

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