Abstract: Object-relative mobile robot navigation is essential for a variety of tasks, e.g. autonomous critical infrastructure inspection, but requires the capability to extract semantic information ...

Newer models are more prone to silent but deadly failure modes ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

Abstract: The popularity of Python is growing, especially in the field of data science. Consequently, there is an increasing number of free libraries available for usage. The aim of this review paper ...

PyCharm, DataSpell, and VS Code offer strong features for large projects. JupyterLab and Google Colab simplify data exploration and visualization. Thonny, Rodeo, and Sublime Text are good for ...

More people are visiting downtown Chicago exploring restaurants, arts, and cultural events and experiences, according to the Chicago Loop Alliance. New data from the organization show numbers ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

While much of crypto chases volatility, the most capital-efficient allocations of 2025 are hiding in plain sight: looping. These structured strategies quietly recycle billions through the same assets, ...

Data2Logistics and Loop merged to address the issue of fragmented and inaccessible supply chain data. Loop's AI-powered platform, DUX, processes supply chain data from various formats (PDFs, EDI, etc.