Minimized dummy Cost Function f(x) = x^2 using default values as initial approximation = 1, error tolerance = 0.0001, learning rate = 0.1, gamma = 0.9, beta_1 = 0.9 ...

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

and walks through all the necessary steps to create SGD from scratch in Python. Gradient Descent is an essential part of many machine learning algorithms, including neural networks. To understand how ...

Until now, every Bitcoin Improvement Proposal (BIP) that needed cryptographic primitives had to reinvent the wheel. Each one ...

Researchers developed a more efficient way to control the outputs of a large language model, guiding it to generate text that adheres to a certain structure, like a programming language, and remains ...

When you log into social media, do you decide what to see, or does an algorithm dictate your feed? When shopping online, do you browse freely, or focus on top-listed, AI-suggested items?

These problems are often large-scale with available gradient information but cannot be handled very well by the existing algorithms. To tackle this issue, this paper proposes a novel ...