The winners of the 2025 Queen Elizabeth Prize for Engineering (QEPrize) have been announced at a ceremony at the Science Museum in London attended by HRH the Princess Royal. The prize celebrates engineering visionaries who inspire future generations to pursue careers in engineering and tackle the challenges of tomorrow.

This year, seven engineers have been recognised for their groundbreaking contributions to the development of modern machine learning, central to the advancements in artificial intelligence (AI). Professor Yoshua Bengio, Professors Geoffrey Hinton and John Hopfield (both 2024 Nobel Prize in Physics), and Dr Yann LeCun have long been advocates for artificial neural networks as a powerful machine learning model, the most widely used today. Collectively, they have created the core ideas behind this approach.

Jensen Huang and Bill Dally have been at the forefront of developing hardware platforms that support modern machine learning algorithms. Their vision of exploiting Graphics Processing Units and their subsequent architectural advances have enabled the large-scale growth and success of these technologies.

Dr Fei-Fei Li has demonstrated the importance of high-quality datasets for both measuring progress and training machine learning algorithms. By developing ImageNet, a large-scale image database for object recognition research, she has provided millions of labelled images, essential for training and evaluating computer vision algorithms.

The Engineering Council would like to extend its congratulations to all the winners.

For more details on this year’s winners and the full announcement, please visit the Queen Elizabeth Prize for Engineering website.