Hub researchers dodged tube strikes and rain to join colleagues from the Prob_AI Hub and ELLIS for a two-day workshop aimed at deepening cross-hub ties on core methodology .

Four university-led projects have been awarded a total of £400,000 by the hub to develop datasets that could help make AI systems safer, more reliable and better aligned with the real world.

A method for testing AI safety by using human-like concepts to trick generative models into making mistakes, has been developed by Hub researchers.

Hub researchers have developed a method for training ultra-fast image generation models that produce higher-quality images in a single step, while reducing GPU memory usage during training by up to 50%. 

Collaborations led by UK academic researchers can bid for up to £100,000 for dataset creation projects through our call.

Hub researchers have a strong presence at this year’s NeurIPS conference in San Diego, an annual international conference on Neural Information Processing Systems.