Abstract: The paper discusses graphical research methods of stochastic transformations. The modified methods for detecting anomalies, patterns and deviations in pseudorandom sequences are Described.

Abstract: Random numbers influence many applications such as statistical sampling, artificial intelligence, machine learning, etc. Still, random numbers are almost inseparable from cryptographic ...

Sequin is a small utility that can help you debug your CLIs and TUIs. It's also great for describing escape sequences you might not understand, and exploring what TUIs are doing under the hood. There ...

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning ...

What if the future of artificial intelligence wasn’t just about incremental improvements but a complete redefinition of what’s possible? Enter GPT 5.2, the AI model that has shattered expectations and ...

Pre-training Large Language Models (LLMs) on high-quality, meticulously curated datasets is widely recognized as critical for enhancing their performance and generalization capabilities. This study ...