Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

Google's Gemini, in a pristine state, will power Siri and the broad Apple Intelligence stack. The foundations are ready, but ...

You read the “AI-ready SOC pillars” blog, but you still see a lot of this:Bungled AI SOC transitionHow do we do better?Let’s go through all 5 pillars aka readiness dimensions and see what we can ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Objective: In this study, the accuracy of deep learning-based models developed for synthetic CT (sCT) generation from conventional Cone Beam Computed Tomography (CBCT) images of prostate cancer ...

1 Eye Hospital, The First Affiliated Hospital of Harbin Medical University, Harbin, China 2 School of Intelligent Science and Engineering, Harbin Engineering University, Harbin, China Background: As a ...

Abstract: The growing volume of textual data across various domains has led to the increasing demand for efficient and accurate text processing systems. This research proposes a transformer-based ...