Abstract: To enhance intelligent identification of image authenticity and tampering in electronic data forensics, this paper proposes a self-supervised CLIP-based image recognition and analysis ...
AI is advancing the software development sector helping businesses in 2026 to refine their software strategies and stay competitive. Businesses collaborating with professional AI-driven software ...
Abstract: This paper presents a circuit architecture aiming for FPGA synthesis of a processing stage of an Automatic Target Recognition (ATR) algorithm to classify non-cooperative targets in Synthetic ...
Stage-1 Generation: The code in this stage is mainly built on the PyTorch framework. Specifically, it requires PyTorch version 1.10.0 or later, along with the ...
Developed to benchmark and explore the full capabilities of the Venice.ai API, the venice-ai Python package has evolved into a comprehensive client library for developers. This library provides ...
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