Tech Xplore

Model steering is a more efficient way to train AI models

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
IEEE

A Reduced-Parameter Mathematical Surrogate Model for Improving Measurement Accuracy of Mechanical Systems Using Experimental Techniques

Abstract: Modeling of a larger mechanical system is inherently difficult due to the complexity of individual processes and the interaction between multiple processes. Using a polynomial model based on ...

Behind nature's blueprints: Physicists create 'theoretical rulebook' of self-assembly

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The ...
eLife

Direct MRI of Collagen

Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...
GitHub

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieval Results in RAG Systems

We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose Lossless HTML Cleaning and Two-Step ...
GitHub

FAR: Frame Autoregressive Model for Both Short- and Long-Context Video Modeling

🔥 FAR leverages clean visual context without additional image-to-video fine-tuning: Unconditional pretraining on UCF-101 achieves state-of-the-art results in both video generation (context frame = 0) ...
IEEE

The Power-Oriented Graphs Modeling Technique: From the Fundamental Principles to the Systematic, Step-By-Step Modeling of Complex Physical Systems

Abstract: Modeling physical systems is an essential skill for engineers, since it enables to achieve a deep understanding of their dynamic behavior and, consequently, to develop effective control ...