Opinion: Humans should be at the heart of AI
03 April 2025With the right development and application, AI could become a transformative force for good. What's missing in current technologies is human insight, says Anna Korhonen.
With the right development and application, AI could become a transformative force for good. What's missing in current technologies is human insight, says Anna Korhonen.
Meet 10 Cambridge spinouts, all hoping to harness the potential of AI for the good of the planet and its people.
Universities can bridge the gap between those who develop AI systems and those who will use and be affected by them. We must step up to deliver this role, say Neil Lawrence and Jess Montgomery.
AI will give us the next leap forward in forecasting the weather, says Richard Turner, and make it available to all countries, not just those with access to high-quality data and computing resources.
A machine learning algorithm developed by Cambridge scientists was able to correctly identify in 97 cases out of 100 whether or not an individual had coeliac disease based on their biopsy, new research has shown.
AI applications have tremendous potential for improving productivity – saving time and money and improving quality of service. Here's what's required to make this work in the public sector, says Diane Coyle.
There’s no shortage of buzz around artificial intelligence (AI). From self-driving cars to the promise of revolutionising healthcare, AI is being hailed as the technology that will change the world around us. But what does this really mean for our everyday lives?
A ̽»¨Ö±²¥ of Cambridge spin-out company working to improve AI efficiency and bandwidth has raised €25 million in new funding.
Google DeepMind co-founder tells Cambridge audience 'digital biology’ could reduce the amount of time it takes to identify new drugs from years to weeks.
A new AI weather prediction system, developed by researchers from the ̽»¨Ö±²¥ of Cambridge, can deliver accurate forecasts tens of times faster and using thousands of times less computing power than current AI and physics-based forecasting systems.