Indian-Origin scientist develops nano 3D device to detect Covid-19 virus in 15 seconds Posted by: Narsingrao Sridhar January 10, 2021
Researchers at Carnegie Mellon University have developed an advanced nanomaterial-based biosensing platform that detects, within seconds, antibodies specific to SARS-CoV-2 or the coronavirus. It also helps to assess patient immunological response to the new vaccine.
The study, published in the journal
Advanced Materials, is Carnegie Mellon’s collaboration with the University of Pittsburgh (Pitt) and the UPMC.
The testing platform identifies the presence of two of the virus’ antibodies, spike S1 protein and receptor binding domain (RBD), in a very small drop of blood (about 5 microliters). Antibody concentrations can be extremely low and still detected below one picomolar (0.15 nanograms per milliliter). This detection happens through an electrochemical reaction within a handheld microfluidic device which sends results almost immediat
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How triggerless backdoors could dupe AI models without manipulating their input data
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In the past few years, researchers have shown growing interest in the security of artificial intelligence systems. Thereâs a special interest in how malicious actors can attack and compromise machine learning algorithms, the subset of AI that is being increasingly used in different domains.
Among the security issues being studied are backdoor attacks, in which a bad actor hides malicious behavior in a machine learning model during the training phase and activates it when the AI enters production.
Until now, backdoor attacks had certain practical difficulties because they largely relied on visible triggers. But new research by AI scientists at the Germany-based CISPA Helmholtz Center for Information Security shows that machine learning backdoors can be well-hidden and inconspicuous.