AI Models Take Off, Leaving Security Behind
Rushing to onboard artificial intelligence, companies and their developers are downloading a variety of pretrained machine learning models, but verifying security and integrity remains a challenge.
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Rushing to onboard artificial intelligence, companies and their developers are downloading a variety of pretrained machine learning models, but verifying security and integrity remains a challenge.
VANCOUVER, BC / ACCESSWIRE / July 6, 2022 / Fabled Copper Corp. ("Fabled Copper" or the "Company") (CSE:FABL); (FSE:XZ7) announces additional results of 2021 surface field work on its Muskwa Copper Project.
Teams at UNSW Sydney and the Garvan Institute of Medical Research have developed Slow5, a new format that helps process DNA samples 30 times faster th...
Bing Xie, a high-performance computing systems engineer for the Oak Ridge Leadership Computing Facility, has received the Institute of Electrical and [...]
Wide adoption of algae cultivation to produce environmentally sustainable biofuels and fine chemicals is currently hampered by large losses (10 to 30%) incurred by grazer infections. We show the usage of real-time chemical ionization mass spectrometry to rapidly identify gaseous indicators of grazer infections in cyanobacteria cultures. Grazing was detected significantly faster (up to 3 d) using real-time mass spectrometry than the current methods of microscopy and qPCR. By employing this technology, cultivators may be empowered to treat grazer infestations sooner, thereby protecting the crop ...