IPinfo builds and sells IPv4 and IPv6 address metadata. This is available either by API, file download or as a Snowflake dataset. When you present an IP address, it'll offer that IP's physical location and ownership information. You can also see if it's used as a VPN or Tor endpoint, is owned by a hosting company and which domain names have been pointed at it.
Source: Where is every IP Address?, an article by Mark Litwintschik.
Understanding and modeling uncertainty surrounding a machine learning prediction is of critical importance to any production model. It provides a handle to deal with cases where the model strays too far away from its domain of applicability, into territories where using the prediction would be inacurate or downright dangerous. Think medical diagnosis or self-driving cars.
Source: Modeling uncertainty with PyTorch, an article by Romain Strock.
10 years ago, systemd was announced and swiftly rose to become one of the most persistently controversial and polarizing pieces of software in recent history, and especially in the GNU/Linux world. The quality and nature of debate has not improved in the least from the major flame wars around 2012-2014, and systemd still remains poorly understood and understudied from both a technical and social level despite paradoxically having disproportionate levels of attention focused on it.
Source: systemd, 10 years later: a historical and technical retrospective.