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 ...
Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...
Framework Computer Delists DDR5 Memory, Citing Threat of RAM Scalping The shortage for RAM is causing Framework Computer to preserve inventory. Meanwhile, Lenovo has been stockpiling its own RAM ...
Empowering our employees to build and deploy AI agents hinges on good governance, strong implementation practices, measuring impact, and enabling effective support. The rate of change for AI tools and ...
Your browser does not support the audio element. This story will praise and/or roast a product, company, service, game, or anything else people like to review on the ...
Whereas, the United States of America (the “United States” or “U.S.”) and Japan (together, the “Participants”) intend to support the supply of raw and processed critical minerals and rare earths ...
Microsoft Research has developed a new reinforcement learning framework that trains large language models for complex reasoning tasks at a fraction of the usual computational cost. The framework, ...
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 ...
In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...
A fundamental challenge in the rapid development of BCI systems is the absence of comprehensive software solutions specifically tailored for advancing cognitive neuroscience experiments. Existing BCI ...
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