Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...
Learn the basics of embedded systems hacking with Arduino, Raspberry Pi & RTOS. Discover GPIO, interrupts, hands-on projects & TinyML for smart edge computing.
The nights are drawing in for Europeans, and Elliot Williams is joined this week by Jenny List for an evening podcast looking ...
The single-board computer Arduino Uno Q gets a Qualcomm processor. It enables projects similar to a Raspberry Pi.
Ignition Solution Suites that are curated sets of Ignition modules organized around specific use cases, which are easier to ...
Abstract: In deep-learning-based process monitoring, obtaining an effective feature representation is a critical step in constructing a reliable deep-learning monitoring model. Conventional ...
Most RAG failures originate at retrieval, not generation. Text-first pipelines lose layout semantics, table structure, and figure grounding during PDF→text conversion, degrading recall and precision ...
The codes are designed to analyze and visualize anomalies and extremes in CESM2 data using Variation AutoEncoders. The study is accepted for the DMESS 2025.
Resilient 3D Indoor Localization Using a Masked Transformer Encoder with Multi-band CSI Fingerprints
Abstract: Integrating dense channel fingerprints into deep learning (DL) becomes a promising way to realize precise three-dimensional (3D) indoor localization. However, most existing methods are ...
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