Using artificial intelligence to hunt for breast cancer
The new “E-Morph” test method does not require animal testing
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High- performance 3D printer for titanium structures and In situ synthesis of alloys
3D printer for high-speed printing of titanium structures
Read moreSensing robot healthcare helpers being developed at SFU
The current pandemic highlights how remote healthcare robots currently being developed at SFU could be beneficial in the future
Read moreArmy-funded researcher receives award for mathematical theory
RESEARCH TRIANGLE PARK, N.C. — A U.S. Army-funded researcher who developed a mathematical theory for complex systems such as networks,
Read moreA new prototype of an intelligent underground robotic system for urban environments
This robotic system is composed of two main elements: a surface vehicle with a geo-radar that is used to scan
Read moreArtificial ‘brain’ reveals why we can’t always believe our eyes
A computer network closely modelled on part of the human brain is enabling new insights into the way our brains
Read moreWhat might sheep and driverless cars have in common? Following the herd
Researchers show how social component of moral decision-making can influence programming of autonomous vehicles and other technologies
Read moreHeavy rain affects object detection by autonomous vehicle LiDAR sensors
Future fully autonomous vehicles will rely on sensors to operate, one type of these sensors is LiDAR LiDAR sensor’s effectiveness
Read moreRIT faculty using smartphones and artificial intelligence to help assess crop roots
Assistant Professor Guoyu Lu earns New Investigator grant from U.S. Department of Agriculture
Read more‘Trending’ doctors’ notes could help hospitals predict COVID-19 surges
A new study, published today in Nature Digital Medicine, found that ‘natural language processing’ (NLP) of information routinely recorded by doctors – as part of patients’ electronic health records – reveal vital trends that could help clinical teams forecast and plan for surges in patients.
Read more‘Trending’ doctors’ notes could help hospitals predict COVID-19 surges
Data mining technology developed by researchers at the NIHR Maudsley Biomedical Research Centre could help hospitals plan for surges in COVID-19 cases, based on notes recorded electronically by doctors.
Read moreAn intelligent soft material that curls under pressure or expands when stretched (video)
Plants and animals can rapidly respond to changes in their environment, such as a Venus flytrap snapping shut when a
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