Abstract: High-fidelity imaging is crucial for the successful safety supervision and intelligent deployment of vision-based measurement systems (VBMSs). It ensures high-quality imaging in VBMS, which ...

Virtual Reality, Ideological and Political Education in Colleges and Universities, Red Culture, Teaching Optimization Zhang, Q. and Yu, Y. (2026) Research on the Optimization Strategy of Integrating ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Here’s what the neolabs are building and why their approaches could unlock new opportunities and cost structures for startups ...

OpenAI's GPT-5.2-Codex advances software engineering with better reasoning and context understanding - SiliconANGLE ...

IMPACT is a new framework for sound speed estimation and distributed aberration correction in medical ultrasound imaging. Our previous work (see https://github.com ...

ABSTRACT: As quantum computing transitions from a theoretical domain to a practical technology, many aspects of established practice in software engineering are being faced with new challenges.

Retrieval Augmented Generation is an efficient solution for knowledge-intensive tasks that improves the quality of outputs and makes it more deterministic with minimal hallucinations. However, RAG ...

In the Cognitive Age, learning is taking a radical departure from the static traditions of the past. Think of the old book source of intelligence—rows of dust-laden shelves filled with ideas confined ...

Abstract: Unsupervised domain adaptation aims to facilitate learning tasks in unlabeled target domain with knowledge in the related source domain, which has achieved awesome performance with the ...

Large Language Models (LLMs) have gained significant traction in recent years, with fine-tuning pre-trained models for specific tasks becoming a common practice. However, this approach needs help in ...