Eco Metals Recovery

29 WHAT IS AI ? Artificial intelligence (AI) is the area of computer science that focuses on the creation of an intelligent machine that can perceive its environment and make decisions to maximise the chances of reaching its goal. Machine learning (ML) is a subfield of AI and data analysis that is working to give computers the ability to learn iteratively , improve predictive models and find insights from the data without being explicitly programmed. As individuals, we already interact with AI/ML applications every day when we talk to a voice assistant, use facial recognition technology, receive movie or restaurant recommendations etc. ML can be broken into the three subcategories based on the method in which the algorithm is trained: 1. Supervised learning Supervised learning is a method in which the machine learning algorithm is trained on a set of labelled data (e.g. training an image recognition system with labelled pictures to identify pictures of gold and silver). 2. Unsupervised learning In unsupervised learning , the algorithm trains with unlabelled data and must determine the underlying structure of the dataset and how to group it (e.g. recognising handwritten numeric digits by classifying them into 10 groups). 3. Reinforcement learning Reinforcement learning starts with no training data, which means the machine must learn through experience and iterative trial-and-error to perform its task whilst maximising long-term reward.