GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...
Deep Learning with Yacine on MSN
Understanding Caesar cipher in Python — encode and decode text easily
Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
K-Paths is a retrieval framework that extracts structured, diverse, and biologically meaningful paths from knowledge graphs (KGs). These extracted paths enables large language models (LLMs) and graph ...
Abstract: K-means clustering is a popular unsupervised machine learning method widely used in various applications, such as data mining, image processing, and social sciences. However, clustering can ...
WaLSAtools is an open-source library for analysing a wide variety of wave phenomena in time series data – including 1D signals, images, and multi-dimensional datasets. It provides tools to extract ...
The K-shaped economy has returned, with gaps widening between high and low-income Americans. Higher earners see steadier opportunities, while lower-income households face cooler prospects. Some ...
As India moves closer to implementing the four new Labour Codes, gratuity has emerged as the benefit drawing the sharpest focus among employees. While debates around working hours, compliance costs ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
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