News in brief
Jupiter mission and AI acceleration: News from the College
Here’s a batch of fresh news and announcements from across Imperial.
Jupiter mission and AI acceleration: News from the College
Here’s a batch of fresh news and announcements from across Imperial.
Using AI Deep Learning to Recognise Consumed Food for Passive Dietary Monitoring
Our Hamlyn researchers proposed a deep-learning scheme for counting bites & recognising consumed food from videos, aiming to assist dietary monitoring
AI-based brain monitoring and robotic muscle projects win £11.5m EPSRC boost
Two Imperial College London projects have won a total of £11.5 million to transform healthcare technologies by 2050.
Low-cost sensor developed by Imperial students to identify recyclable objects
Students from Imperial have used AI-powered cameras to identify recyclable objects, enabling them to be automatically sorted at waste facilities.
AI4Health PhD student wins the 2020 MedTechSuperConnector Challenge
PhD student at the UKRI Centre for Doctoral Training in AI for Healthcare has been accepted onto the 2020 MedTech Accelerator Programme.
A Real-Time Gamma Probe Tracking System for Cancer Tissue Identification
Our Hamlyn researchers proposed a real-time gamma probe tracking system integrated with augmented reality, aiming to aid surgery for prostate cancer.
AI can amplify but also overcome bias, says Imperial Vice Provost
Well-designed AI can help overcome bias said AI expert Professor Nick Jennings, Imperial’s Vice Provost (Research and Enterprise).
Application of Artificial Intelligence (AI) in Surgery
Our Hamlyn researchers review the recent influential applications of AI in surgery as well as note the major challenges in the future development.
Imperial researchers inform smarter regulation in healthcare at policy hackathon
How we can bring more data-driven innovations into healthcare was the focus of a policy hackathon organised by The Forum and the think tank Reform.
A Cross-Domain Transfer Learning Scheme for Robot-Assisted Microsurgery
Our Hamlyn researchers proposed a transfer learning scheme for training a deep neural networks model, aiming to aid Robot-Assisted Microsurgery.