Cryptography secures communication in banking, messaging, and blockchain. Good algorithms (AES, RSA, ECC, SHA-2/3, ChaCha20) are secure, efficient, and widely trusted. Bad algorithms (DES, MD5, SHA-1, ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Learn the key differences between supervised and unsupervised learning (and why it matters). The difference between supervised and unsupervised learning is simple: it's about how much human guidance ...

Abstract: In mathematics, the unification problem is that of computing the parameters of two models (formulas, automata, programs, etc.) in such a way that these models have the same behavior. We ...

ABSTRACT: The paper continues the research on algorithms for generating nondeterministic finite automata possessing the following property (the so-called walibad property): among their covering ...

One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...

Damas-Hindley-Milner (DHM) type inference is a powerful technique that automatically deduces the types of variables and expressions in a program, freeing programmers from explicit type declarations.

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