Launching 'Nightingale AI': A New Foundation World Model for Health
UK researchers have launched Nightingale AI, a pioneering initiative for a Large Health Model designed to transform healthcare by leveraging NHS data.
'Science in safe hands', Science and Engineering for Cultural Heritage Meeting
Fostering collaboration between scientists, engineers, conservators and curators to develop techniques that help take care of cultural heritage.
Novel paper presents a guide for data scientists working with real-world data
Imperial’s Data Learning Group has created a guide for data scientists looking to tackle the common problems faced when working with real-world data.
Can artificial intelligence improve mental health support services?
Scientists have developed a novel application of deep learning to monitor the quality of mental health text support services for better quality care.
Ka-boom! AI reveals meteoroid impacts are making Mars shake
Imperial researchers show that 'Marsquakes' are caused by seismic signals from meteoroid impacts reaching farther and deeper than previously known.
New collaboration to transform the performance and sustainability of AI models
An Imperial-led collaboration is set to investigate new ways to measure and boost the performance of powerful AI frontier models.
AI for Healthcare Centre presents research at global medical tech trade fair
Pioneering AI-driven healthcare innovation: PhD researchers showcased solutions at MEDICA 2024, fostering global trends and collaboration
Google’s Dr Prabhakar Raghavan Discusses AI’s Future at Imperial
Dr Prabhakar Raghavan, Google’s Chief Technologist, gave a lecture at Imperial on AI’s potential, ethics, and future innovations
Imperial selected by Schmidt Sciences as partner in Global Fellowship Programme
New funding to enable researchers from Ghana and wider Africa, India, Brazil and Malaysia to enhance their science with cutting-edge AI.
AI for Healthcare Centre science comms training engaging patients and public
Workshop training PhD researchers to explain AI research to the public, with hands-on feedback from patients, improving science communication skills
