One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
An open-source Generative AI (GenAI) application designed to generate automated test cases and python Selenium scripts after dynamically analyzing the web-page using large language models (LLMs).
Low-code platforms now power enterprise applications at the speed and agility that traditional development cannot match. Yet adoption in healthcare, finance and government is cautious—not for lack of ...
A collaborative group of industry experts, researchers, designers and practitioners across the Australian built environment today launched the Nature Design Guide – a substantial new resource ...
Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...
Getting ready for a Selenium interview after five years in the field can feel overwhelming. There’s a lot to remember—frameworks, real-world bugs, and all those tricky locator problems. If you’re ...
If you’ve ever tried to build a agentic RAG system that actually works well, you know the pain. You feed it some documents, cross your fingers, and hope it doesn’t hallucinate when someone asks it a ...
A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. “As program ...
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