Learn how business logic serves as the framework of rules and algorithms, enabling smooth data flow between databases and ...

Abstract: This paper explores the use of machine learning (ML) methods to identify "clusters" of basic emotions based on pleasure, arousal, and dominance (PAD). The data was obtained from the Dataset ...

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, ...

This project is all about exploring Reinforcement Learning (RL) basic algorithms. We use mazes of different sizes as our playground to see how different RL techniques can find their way out. We make ...

Over the years, the YouTube suggestion algorithm has become pretty complex. I’ve noticed that it can extrapolate my tastes very well based on my watch history, continuously tempting me to consume more ...

Artificial intelligence (AI) developed its reputation for efficiency and predictability through systematic decision making procedures. However, disruptors are rising to contest the basic algorithms ...

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

From private information retrieval to federated learning, new approaches to securing information are not only resulting in practical data security solutions but also ways of rethinking data ...

For the last few years or so, the story in the artificial intelligence that was accepted without question was that all of the big names in the field needed more compute, more resources, more energy, ...

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 ...