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Recurrent Neural Networks (RNNs) - Overview

Overview of Recurrent Neural Networks (RNNs), including their mathematical foundations, activation and loss functions, and a comparative analysis with Perceptrons, Convolutional Neural Networks, and Transformer architectures.

AI security and threats

Artificial Intelligence(AI) and Machine Learning Models bring with them a range of new challenges and security concerns. From the creation of realistic deepfakes to vulnerabilities like prompt injection and the use of Shadow AI systems inside an organization.

Transformers - Attention is All You Need

Introduced in 2017 in the paper Attention is All You Need, transformers address the limitations of earlier architectures by leveraging a self-attention mechanism to process sequential and structured data more effectively.

Bittensor, decentralized production of artificial intelligence

Bittensor is an open source platform on which you can produce competitive digital commodities. These digital commodities can be machine intelligence, storage space, compute power, protein folding, financial markets prediction, and many more.

Virtual Protocol, create co-ownership AI agents

Virtuals Protocol is a co-ownership layer for AI agents in gaming and entertainment. These agents can operate across a wide range of applications and games, significantly expanding their revenue surface area. AI agents can be to be tokenized and co-owned via blockchain.

L'analyse de données avec pandas

Pandas est une librairie python permettant de faire de l'analyse de donnée. Elle est beaucoup utilisée pour traiter les données dans le cadre du Machine Learning.