ERC Standards for AI Agents - The On-Chain Agent Stack on Ethereum
A technical survey of the Ethereum ERC standards for AI agents, from ERC-8004 Trustless Agents to verification, coordination, commerce, and verifiable ML inference.
2026, Jul 06 —- Posts
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ERC-8004 Trustless Agents - Identity, Reputation and Validation for On-Chain AI Agents
A technical deep dive into ERC-8004 Trustless Agents - its three registries for agent identity, reputation and validation, the pluggable trust models, and how the standard is being deployed.
2026, Jul 06 —Security in Claude Code: Architecture, Safeguards, and Best Practices
technical overview of Claude Code’s security model, including its permission system, sandboxing architecture, identity and access management (IAM), and operational best practices.
2026, Jan 13 —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.
2025, Nov 14 —Gradient Descent in Machine Learning - Overview
Gradient descent is an optimization algorithm used to find the minimum of a function—typically a cost function or loss function in machine learning.
2025, Apr 09 —K-Nearest Neighbor (KNN) Algorithm - Overview
This article explains the difference between supervised and unsupervised learning in Machine Learning with several examples.
2025, Feb 10 —Machine Learning - Supervised vs. Unsupervised Learning
This article explains the difference between supervised and unsupervised learning in Machine Learning with several examples.
2025, Jan 22 —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.
2025, Jan 22 —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.
2025, Jan 13 —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.
2024, Dec 16 —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.
2024, Dec 05 —Perceptron - a simple, binary neural network architecture
The perceptron, developed by Frank Rosenblatt in 1958, is one of the earliest and simplest models of artificial neural networks.
2024, Nov 25 —Convolutional Neural Networks (CNNs) - Overview
Transport Layer Security (TLS) 1.3 is the latest version of the TLS protocol, designed to enhance internet security, speed, and privacy.
2024, Nov 19 —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.
2022, Mar 07 —