A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...
Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Abstract: To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of ...
RGB-depth (RGB-D) salient object detection (SOD) recently has attracted increasing research interest, and many deep learning methods based on encoder-decoder architectures have emerged. However, most ...
The implications of new AI voice research go beyond user experience to making AI more efficient, which could change the industry and significantly reduce carbon footprints. University of Virginia ...
The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial differential equations (PDEs) of, say, fluid ...
This repository presents cutting-edge decoder architectures integrated with Transformer networks for semantic segmentation of remotely sensed images. Building upon my prior research in remote sensing ...
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