Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Butuh referensi kalimat perkenalan diri untuk guru baru di sekolah? Ada berbagai contoh yang bisa digunakan agar tampil lebih percaya diri di depan para siswa.
Abstract: Automatic modulation classification (AMC) can generally be divided into knowledge-based methods and data-driven methods. In this paper, we explore combining the knowledge-based method and ...
In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...
Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...
This repository is the official PyTorch implementation of DUKD: Data Upcycling Knowledge Distillation for Image Super-Resolution. Knowledge distillation (KD) compresses deep neural networks by ...
A Python project that allows you to analyse proteomics and clinical data, and integrate and mine knowledge from multiple biomedical databases widely used nowadays. The promise of precision medicine is ...
Abstract: Accurate vehicle intention prediction is critical for autonomous driving safety in complex traffic environments. To address the interpretability limitations of data-driven methods while ...
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