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Household appliances need to be refurbished and/or recycled at the end of their useful lives. The KIKERP project (see below) aims to harness artificial intelligence to collect information about used ...
Active vision dynamically refines spatiotemporal neural representations, optimising visual processing through scanning behaviour and non-associative learning, providing insights into efficient sensory ...
A terrible design decision that Elon Musk made more than a decade ago is once again biting Tesla in the behind. As The ...
AI-generated hentai sits at a provocative crossroads where fantasy meets technology, and desire is woven into each and every line of code. Once a niche corner of anime fandom, hentai has since evolved ...
Distribution of kinase groups in the data set, external validation plot, molecular weight vs clogP distribution of the training and test set ligands, superimposed kinase structures, experimentally ...
Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...
SafeWalk, by Master of Information and Data Science students Helen Hu, Ke Zhang, Kris Junghee Lee, and Ula Zhu, aims to help ...
General deep learning methods often struggle to effectively represent consistent building features due to insufficient exploitation of the characteristics and visual cues. In this paper, we propose a ...
Apple’s Visual Intelligence Is Getting Smarter—But It’s Still Missing the Feature I Really Want. At WWDC 2025, Apple announced some useful updates for Visual Intelligence in iOS.
China’s artificial intelligence (AI) market sees heightened competition, as various model providers – from SenseTime to ByteDance – step up efforts to enhance their services.
Vera Weisbecker receives funding from the Australian Research council. She is member of the Australian Greens Party and the Australian Mammal Society. Erin Mein is a member of the Australian ...
Variability-intensive systems are software systems in which variability management is a core activity. Examples of variability-intensive systems are the web content management system Drupal, the Linux ...