AI Sharing Circle

Supervised learning is one of the most common and basic methods of machine learning, the core idea is to teach computer models how to make predictions or judgments through existing data sets with "correct answers".

Deep Learning (DL) is a branch of machine learning that centers on the use of multi-layer artificial neural networks to learn and represent complex patterns in data.

Artificial Intelligence Ethics (AI Ethics) is a cross-disciplinary field that examines the ethical principles, values and social responsibilities that should be followed in the development, deployment and use of AI systems.

Weak Artificial Intelligence (Narrow AI) is currently the dominant form of AI technology development in our real world. Weak AI is designed and trained to perform a specific, well-defined task with a level of intelligence that may surpass that of humans in that particular domain.

Artificial Intelligence (AI) is a core branch of computer science that aims to build theoretical and technological systems that can simulate, extend, and even surpass human intelligence, so that machines have the ability to learn, reason, perceive, and make decisions that usually require human intelligence to...

Generalized Artificial Intelligence (AGI) is intelligent systems that can understand, learn, reason, adapt and create like or even beyond humans on any cognitive task.

Explainable AI (XAI) is an overarching set of programs that encompasses concepts methods technologies and governance frameworks.

Digital Twin (Digital Twin) is a technology system for mirror modeling, dynamic mapping and full life cycle management of physical entities or complex systems with high precision, high fidelity and real-time two-way interaction in a virtual digital space.