Recent news from The Johns Hopkins University
This section contains regularly updated highlights of the news from around The Johns Hopkins
University. Links to the complete news reports from the nine schools,
the Applied Physics Laboratory and other centers and institutes are to
the left, as are links to help news media contact the Johns Hopkins
communications offices.
Johns Hopkins University researchers discovered precisely how spiders build webs by using night vision and artificial intelligence to track and record every movement of all eight legs as spiders worked in the dark.
Their creation of a web-building playbook or algorithm brings new understanding of how creatures with brains a fraction of the size of a human’s are able to create structures of such elegance, complexity and geometric precision. The findings, now available online, are set to publish in the November issue of Current Biology.
November 1, 2021 Tags: Andrew Gordus, artificial intelligence, Johns Hopkins University, machine vision, spider webs, spiders
| Category: biology, Natural Sciences
Johns Hopkins University scientists have developed a new tool for predicting which patients suffering from a complex inflammatory heart disease are at risk of sudden cardiac arrest.
July 28, 2021 Tags: artificial intelligence, cardiac arrest, cardiac imaging, cardiac modeling, cardiac sarcoidosis, Cardiovascular Research, irregular heartbeat, machine learning
| Category: biology, Engineering, Medicine and Nursing, Uncategorized
The brain detects 3D shape fragments (bumps, hollows, shafts, spheres) in the beginning stages of object vision – a newly discovered strategy of natural intelligence that Johns Hopkins University researchers also found in artificial intelligence networks trained to recognize visual objects.
October 22, 2020 Tags: AI, artificial intelligence, machine learning, Mind/Brain Institute, Zanvyl Krieger Mind/Brain Institute
| Category: biology, Medicine and Nursing
Computers, like those that power self-driving cars, can be tricked into mistaking random scribbles for trains, fences and even school busses. People aren’t supposed to be able to see how those images trip up computers but in a new study, Johns Hopkins University researchers show most people actually can.
March 22, 2019 Tags: adversarial images, artificial intelligence, Chaz Firestone, Department of Psychological and Brain Sciences, fooling images, Johns Hopkins University, self-driving cars
| Category: Computer Science, Psychology, Technology, Uncategorized
