An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

DataCamp is geared towards data science and analytics, offering specialized Python tracks with practical exercises using ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get pointers, even if it’s not a formal course itself. People share what works for ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Degree centrality (DC) is a widely used metric that measures node importance in data space. A node–link diagram is a commonly used graph visualization to help viewers identify important ...

We have reached a place in the AI lifecycle where we’re seeing a lot of “X meets Y” applications. Multiple companies are already releasing “AI meets TikTok” apps, for instance. Now, Berlin- and New ...

The cloud SIEM is gaining long-term data lake log storage, AI graph visualization, support for MCP, and a way to interact with custom agents built in Security Copilot, but it’s unclear yet whether ...

Fifteen years ago, I introduced the zero-trust security model while working as an analyst at Forrester Research. At the time, cybersecurity was still rooted in perimeter-based thinking, built on the ...