What are AI agents, and how do they make life easier for Web3 users?
What are AI agents? An autonomous Web3 future and a key trend for 2025.
What are AI agents, and how do they make life easier for Web3 users?
What are AI agents? An autonomous Web3 future and a key trend for 2025.
What is proof-of-personhood (PoP)?
How proof-of-personhood is used in Web3 to defend against Sybil attacks and AI abuse.
Convolutional neural networks: what they are and why they matter
Convolutional neural networks (CNNs) are a class of neural networks that help computers interpret images and video.
What is explainable artificial intelligence (XAI)?
Explainable artificial intelligence is a field of AI research that seeks to build systems and models able to explain their actions and decisions.
AI image generation: five free services
Which sites let you create images with neural networks, how the services differ and what their terms of use are—read in this Cryptorium selection.
ChatGPT: what it is and how to use it
We explain what ChatGPT is, how to register an account, and the chatbot’s advantages and drawbacks.
What is a deepfake?
What is a deepfake? How are they made and where are they used? How do you spot an AI fake? Explained in cards.
Recommender systems: what they are and how they work
A guide to recommender systems: how they work, where they are used, and their strengths and weaknesses.
What is natural-language processing?
Natural-language processing is a set of methods that help a computer system understand human speech.
What is computer vision? (machine learning)
Computer vision is a subfield of machine learning and computer science that helps machines understand the world by recognising visual patterns and detecting objects, much as humans do.
What are transformers? (machine learning)
Transformers are a relatively new type of neural network designed to handle sequences while coping easily with long-range dependencies.
What is a neural network?
An artificial neural network is a mathematical model inspired by the biological neural networks that make up the brains of living beings. Such systems learn to perform tasks by studying examples rather than being explicitly programmed for a specific application.We use cookies to improve the quality of our service.
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