MimiClaw is an OpenClaw-inspired AI assistant designed for ESP32-S3 boards, which acts as a gateway between the Telegram messaging application and Claude ...

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 ...

This issue covers adding the initial Sphinx-based docs/ directory to the CasaNova project. The documentation structure will include conf.py, index.rst, and other Sphinx-generated scaffolding required ...

Courts and legal practitioners should adopt a risk‑based, principle‑driven framework for using generative AI (GenAI) that balances innovation with accountability and requires meaningful human ...

Researchers in India have developed a novel layout design tool to identify the optimal locations for solar panel installation on undulating terrain. The tool consists of two components: a filtering ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Colleges and universities are navigating technological change, shifting demographics, evolving workforce demands and fluctuating economic conditions. As a university president, I’ve seen how ...

Forbes contributors publish independent expert analyses and insights. I cover global and domestic health care and conservation. The world today faces a convergence of crises – environmental, economic, ...

It’s easy to get caught up in technology wars—Python versus Java versus NextBigLanguage—but the hardest part of AI isn’t the tools, it’s the people. Domain knowledge, skills, and adoption matter more ...

One of Python’s most persistent limitations is how unnecessarily difficult it is to take a Python program and give it to another user as a self-contained click-to-run package. The design of the Python ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...