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Before watching my video about the Time Card, it is good to ensure that you understand Milliseconds, Microseconds, and Nanoseconds.
And before we get to the Time Card, it is important to understand how do computers know what time it is? Here is a quick look at how computers synchronize their clocks including a look at NTP and PTP.
The Time Card is an open-source PCI Express card that brings atomic clock level accuracy to your PC. Using a Rubidium miniature atomic clock, the Time Card turns your PC into a Stratum 0 primary time server.
Following on from my Power over Ethernet (PoE) video, I promised a video about how to power a Raspberry Pi via PoE. Well here it is!
The Pantera Pico is a productivity on-the-go PC that is ideal for home offices or for online learning. Plus it is future proof since it can run Windows 11.
- Write Your Own Encryption Algorithm For Fun And Laughs – Writing an industrial-strength encryption algorithm is hard. However, that doesn’t mean it isn’t a fun little exercise to try to understand some of the problems, challenges, and pitfalls.
- How I switched from macOS to Linux after 15 years of Apple – After 15 years Marko Saric switched to Linux. Here is why.
- Brooks, Wirth and Go – The journey from 1964 to the spiritual successor of C.
- A Layman’s Guide to Recreational Mathematics Videos – Math books can be boring, but YouTube is well suited to maths.
- The Chip Shortage Keeps Getting Worse. Why Can’t We Just Make More? – The crunch has raised a fundamental question for policymakers, customers and investors: Why can’t we just make more chips?
- A Gentle Introduction to Graph Neural Networks – Neural networks have been adapted to leverage the structure and properties of graphs. Here is a look at the components needed for building a graph neural network – and motivate the design choices behind them.
- Useful Spy Books – A great list from someone who actually worked in intelligence.
- Sparkling clean – Why satellites are manufactured in clean rooms.
- The First Rule of Machine Learning: Start without Machine Learning – Applying machine learning effectively is tricky. You need high-quality data and labels. As a result, most of the time, your first iteration doesn’t need to involve machine learning at all.