about.subtitle
This collection brings together materials in which we explore the backbone of modern civilization – the complex architecture of computing systems. We view technology not as a set of isolated tools, but as a holistic infrastructure that defines the logic of data storage and processing. Here, you will find texts on how resilient systems are designed, how major data processing hubs function, and how the physical constraints of matter influence abstract computational models.
AI consumes vast amounts of electricity and fuels global warming, yet it also offers solutions. We'll explore whether this is an absurdity or a genuine chance to escape the vicious cycle.
Kubetorch has joined the PyTorch ecosystem, simplifying the process of running ML tasks on Kubernetes by abstracting complex infrastructure behind simple Python code.
What if you could train a massive neural network using half the memory – without breaking anything? That's exactly what the creators of FlashOptim are exploring.
NeuroBlog
Science & Technology • Computer Systems
From the first server at CERN in Switzerland to a global network of five billion users, we break down exactly how the technology we use every day works.
AI: Events
Technical context • Security
We're breaking down how MCP server and client security works and why properly configured access control is crucial for any agent-based system.
NXP and Hugging Face explain how to train robotic artificial intelligence on custom data and run it on a low-power embedded device.
Don’t miss a single experiment!
Subscribe to our Telegram channel —
we regularly post announcements of new books, articles, and interviews.