<ul><li>The ancient Greeks had been tackling optimization problems since at least the 3rd century BCE, setting the foundation for modern AI.</li><li>Gradient descent, an algorithm rooted in ancient mathematical principles, plays a crucial role in how neural networks learn.</li><li>It is based on the intuitive idea of following the steepest path and has been used in various optimization techniques throughout history.</li><li>The ancient Greek concept of the 'method of exhaustion' and the continuous refinement of approximations is an early form of gradient descent.</li></ul>

The Ancient Algorithm That’s Quietly Powering Modern AI

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