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Algorithms are the set of rules a machine (especially a computer) follows to achieve a particular goal. 

AIML resources on algorithms: 

A new way of ‘doing space’: AIML-supported Space MAITRI mission part of historic launch agreement 

AI is the capability of computer systems or algorithms to imitate intelligent human behaviour; a branch of computer science dealing with the simulation of intelligent human behaviour by computers. 

AIML AI resources: 

‘AI is the technology of our time’ - AIML Professor testifies on AI’s global impact and why ÐÓ°ÉÖ±²¥ needs to get on board 

‘AI is the technology of the century’: AIML director and other experts extol AI’s virtues and discuss risks at Gillard Public Lecture 

Artificial general intelligence - the hypothetical ability of a machine to understand, learn, and apply intelligence to any intellectual task that a human can, demonstrating human-level cognitive abilities like reasoning, problem-solving, and adaptability across diverse domains. 

AIML AGI resources:

A new and emerging form of AI, augmented reasoning combines an advanced ability to learn patterns using traditional machine learning, with an ability to reason.

Augmented reasoning can help us make computers better at understanding people and our needs, through more natural conversation and interaction. 

AIML augmented reasoning resources:

Computer vision is a field of AI that trains computers to interpret and analyse visual data from images and videos, enabling machines to understand and extract meaningful information from the visual world. Using techniques like machine learning, deep learning, and neural networks, computer vision can perform tasks such as object recognition, image classification, and 3D reconstruction.

AIML computer vision resources:

The sky’s the limit: AIML works with local company to clear earth’s orbit 

Deep learning (noun) - a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Deep learning focuses on utilising multilayered neural networks to perform tasks such as classification, regression, and representation learning. 

AIML deep learning resources: 

Deep learning | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML)

Embodied AI integrates artificial intelligence into physical systems like robots and autonomous vehicles, enabling them to interact with and act within the real world. Unlike traditional, disembodied AI focused on digital tasks, embodied AI connects perception, cognition, and action through physical presence, using sensors, machine learning, and computer vision. 

AIML embodied AI resources: 

Foundational AI refers to AI models (also known as foundation models) that are trained on vast, diverse datasets, enabling them to serve as a versatile, general-purpose base for a wide range of use cases, rather than being trained for a single, narrow task. 

These models leverage transfer learning, applying broad knowledge to new, specialised tasks in areas like natural language processing, computer vision, and data analytics, making them a foundational building block for developing customised AI solutions.

AIML foundational AI resources: 

Click below to read about AIML's work utilising AI and machine learning in the health sphere: 

Medical Machine Learning | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML) | ÐÓ°ÉÖ±²¥ of Adelaide

AIML members and health experts se AI to increase speed of endometriosis diagnosis 

Project CANAIRI takes flight; asks what dpes it take to successfully integrate AI tools with clinical practice

AIML and CCCure use machine learning to improve outcomes for those with IBD

Large language model (LLM) - (noun) an advanced artificial intelligence system trained on massive datasets of text to understand, generate, and process human language. LLMs use deep learning architectures to perform various natural language processing tasks, such as translation, summarisation, question answering, and text creation.

AIML LLM resources:

Machine learning - (noun) - a computational method that is a subfield of artificial intelligence that enables a computer to utilise algorithms and learn to perform tasks by analysing a large dataset without being explicitly programmed. 

AIML machine learning resources: 

Machine Learning | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML) | ÐÓ°ÉÖ±²¥ of Adelaide  

An AI model is a computer program or algorithm that has been trained on a large dataset of information. The models apply different algorithms to relevant data inputs to achieve the tasks they’ve been programmed for.

AIML AI model resources: 

Multimodal generative AI refers to AI systems capable of understanding, processing, and generating content across multiple data types, such as text, images, audio, and video.

AIML multimodal generative AI resources: 

Multi-Head Latent Attention (MLA) is an attention mechanism, first proposed by DeepSeek-V2, that reduces the memory footprint of large language models by compressing keys and values into a smaller, shared "latent vector" allowing models to scale to longer sequences with improved or maintained performance.  

AIML MLA resources:

Natural language processing (NLP) is technology that allows computers to interpret, manipulate, and comprehend human language. 

AIML NLP resources:

Natural Language Processing (NLP) | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML) | ÐÓ°ÉÖ±²¥ of Adelaide

Reinforcement learning (RL) is a type of AI where an agent learns to make decisions by interacting with an environment and receiving rewards or penalties for its actions, similar to trial-and-error learning in humans.

AIML reinforcement learning resources: 

Responsible AI is a framework for developing and using artificial intelligence systems ethically and safely, ensuring they benefit society while mitigating potential risks like bias and privacy concerns. Key principles include fairness, safety, privacy, transparency, explainability, contestability, and accountability throughout the AI system's lifecycle. 

AIML Responsible AI resources: 

‘AI is shaping our world, and we need to do it in the most human way possible’: New research centre to address responsible AI 

Robotic vision is technology that equips robots with the ability to "see" by using cameras and sensors to capture visual data, process it with specialised software, and then use that interpretation to perform tasks. 

AIML's robotic vision resources: 

Robotic Vision | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML) | ÐÓ°ÉÖ±²¥ of Adelaide 

Sovereign AI capability is the autonomy and capacity of a nation, organisation, or entity to control its artificial intelligence systems, including the data, infrastructure, models, and talent used to develop and operate them. 

AIML's sovereign AI resources: 

Tech and defence experts call to build ‘AI ÐÓ°ÉÖ±²¥â€™ | ÐÓ°ÉÖ±²¥n Institute for Machine Learning (AIML) | ÐÓ°ÉÖ±²¥ of Adelaide