Author: Tech Explore

Credit: Pixabay/CC0 Public Domain Are democratic societies ready for a future in which AI algorithmically assigns limited supplies of respirators or hospital beds during pandemics? Or one in which AI fuels an arms race between disinformation creation and detection? Or...

Credit: Pixabay/CC0 Public Domain Label distribution learning (LDL) is a new learning paradigm to deal with label ambiguity. Compared with traditional supervised learning scenarios, annotation with label distribution is more expensive. Direct use of existing active learning (AL) approaches, which...

PseudoAugment principal scheme. Credit: Sergey Nesteruk and coauthors A research team from Skoltech and other institutions have pioneered a new fast way to distinguish weighted goods at a supermarket. Unlike existing systems, the algorithm will make neural network training faster...

An example of human fatigue analysis using video recording. Credit: © Sensors. A research team consisting of scientists from St Petersburg University, St Petersburg Federal Research Center of the Russian Academy of Sciences and some other organizations have created a...

by Mark Sanderson, Julian Thomas, Kieran Hegarty and Lisa M. Given, The Conversation Today marks an important milestone in the history of the internet: Google’s 25th birthday. With billions of search queries submitted each day, it’s difficult to remember how...

Credit: Shutterstock Artificial intelligence pioneer Geoffrey Hinton made headlines earlier this year when he raised concerns about the capabilities of AI systems. Speaking to CNN journalist Jake Tapper, Hinton said: “If it gets to be much smarter than us, it...

Multispectral quantitative phase imaging using a diffractive optical network. Credit: Ozcan Lab @ UCLA. Quantitative Phase Imaging (QPI) is a label-free imaging technique that leverages the optical path length information in transparent samples to evaluate their refractive index distribution and...