How Do Computers Recognise Images?
An image is a grid of numbers. Recognition works by passing that grid through layers that detect progressively more complicated patterns, from edges up to objects.
An image is a grid of numbers. Recognition works by passing that grid through layers that detect progressively more complicated patterns, from edges up to objects.
In a few decades around 1200 BC, the interconnected palaces of the eastern Mediterranean were destroyed and several states disappeared. Nobody agrees on a single cause, and that may be the answer.
Three thousand years of continuous civilisation is an outlier. Egypt had a river that made farming predictable, deserts that made invasion difficult, and an administration built to exploit both.
Nobody sees atoms with ordinary light. They were inferred from Brownian motion, measured indirectly for a century, and then eventually photographed one at a time.
A calendar has to reconcile three cycles that do not fit: the day, the month and the year. Every calendar in history is a different answer to that arithmetic problem.
Everything a computer holds is patterns of two states. The interesting part is not the binary, it is the ladder of storage types trading speed against size and cost.
A physics team has proposed using the gas a dying star throws off before it explodes as a detector for extremely weakly interacting particles, and set new limits using a recent supernova.
The Earth is about 4.54 billion years old, and we know that because certain atoms decay at a fixed rate. Rocks containing them behave as clocks that started when the rock formed.
A wing generates lift by pushing air downwards. The popular explanation involving air travelling further over the top is wrong, and the correct one is simpler than it sounds.
Encryption turns data into something unreadable without a key. Modern systems use two different kinds at once, because each solves a problem the other cannot.