A ‘no-touch touchscreen’ developed for use in cars could also have widespread applications in a post-COVID-19 world, by reducing the risk of transmission of pathogens on surfaces.
A new initiative at Cambridge will equip young researchers outside computer science with the skills they need to use machine learning and artificial intelligence techniques to power their research.
Researchers have used artificial intelligence to reduce the ‘communication gap’ for nonverbal people with motor disabilities who rely on computers to converse with others.
A ̽»¨Ö±²¥ of Cambridge team led by and intensive care consultant of the (CCAIM) is calling for urgent research into the striking differences in COVID-19 deaths they have discovered between the intensive care units of NHS trusts across England.
AI assisted COVID-19 diagnostic and prognostic tool could improve resource allocation and patient outcomes.
A team of engineers have trained a robot to prepare an omelette, all the way from cracking the eggs to plating the finished dish, and refined the ‘chef’s’ culinary skills to produce a reliable dish that actually tastes good.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests.
AÂ new partnership between Aviva and Cambridge is asking what do advances in technology and data science mean for the future of insurance?
Researchers have designed a machine learning method that can predict battery health with 10x higher accuracy than current industry standard, which could aid in the development of safer and more reliable batteries for electric vehicles and consumer electronics.
© 2025 ̽»¨Ö±²¥ of Cambridge