Implicit and Explicit Learning What is learning? The first thing that comes to mind is education – whether it’s my kids going to school and being taught how to read or add numbers, or adults at university studying the classics, or how to run a business. That’s one kind of learning – a combination of being shown something new, and gaining an understanding of how to take actions that enable the doing of that new thing. But there is
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Advanced machine learning and high-resolution satellite images are set to revolutionise the Australian grape and wine community’s regional mapping and vineyard insights. World leading agricultural artificial intelligence software, GAIA (Geospatial Artificial Intelligence for Agriculture), has been developed by Consilium Technology, in partnership with DigitalGlobe and Wine Australia. The software provides groundbreaking insight into the health and quantity of all vineyards across Australia – effortlessly and in real-time. The partnership’s initial co-investment will see GAIA deployed in Australia’s wine regions
The Collaborative Land Active Self Protection (CLASP) Program has received a joint award by the Chief Defence Scientist for Australian Defence Science and Technology Group and the Chief Scientific Adviser for the UK Ministry Of Defence. Over a period of three years, this team has worked together to understand the threat associated with modern anti-tank guided weapons and rocket propelled grenades to our land forces and to develop active protection systems technology aimed at safety and effectively defeating those
Adelaide (13 November, 2017) – In an Australian first, Consilium Technology Pty Ltd (Consilium), a Machine Intelligence business, announced today that it has partnered with DigitalGlobe, the global leader in Earth imagery and information about our changing planet, to leverage DigitalGlobe’s Geospatial Big Data platform (GBDX). Consilium, headquartered in Adelaide, South Australia, will couple its machine learning technology with GBDX, a powerful, cloud-based platform with access to DigitalGlobe’s 100 petabyte, high-resolution satellite imagery library. Incorporated in 2010, Consilium has
When I hear the word “ensemble”, I think of two things: the grand canonical ensemble, and the brass ensemble. But today we’re taking a look at ensemble learning, which is the canonical way that the grand top brass of data scientists augment and combine models. The need for ensembling arises when you’re working at the cutting edge and a good model is not available. One model might anticipate a fraction of the cases, another a different fraction, and a
Melbourne (21 August 2017) – Consilium Technology Pty Ltd (Consilium), an Australian Machine Intelligence Business and Research Services Provider, are exhibiting their machine intelligence and simulation capability at the International Joint Conference on Artificial Intelligence (IJCAI). The conference is being held from 21-24 August at the Melbourne Exhibition and Conference Centre. Dr Sebastien Wong (Director of Machine Learning, Consilium): “Our goal is to help businesses leverage advances in machine learning. We were founded in 2010 to service defence research
I spent last Thursday engaging as a mentor to teams in the Adelaide Techstars start-up accelerator. Having been busy with other projects leading up to the event, I hadn’t thought deeply about Techstars, and as a result I didn’t have many preconceptions about what was expected from the mentoring process. Having worked primarily in government and academic R&D labs for 18 years, and only engaging with the commercial business world for the last two years, I wondered about the
My parents, hoping to encourage a career in medicine, gave me a book on the human body for my sixth birthday. This was just after the release of the original Starwars movie and the book used robots as an analogy to describe the functions of the body. I remember the picture of the brain being a computer and connected to the sensory inputs through wires. Unbeknownst to them, my parents had started me down the path of becoming an
Sometimes, it’s risky to explore the realms of possibility. Machine Intelligence offers promises of prediction, actionable insight, intelligent automation. You most likely question the authenticity of these claims. Could it really make a difference to your bottom line? Most likely your perception of what is possible is limited. Your reference points of what’s proven in the industry are narrow. You are naturally sceptical. When you deliberately set out to explore, one of two things happen, you prove your suspicions or
Feature learning will allow machine learning to revolutionize many industries, without needing years of domain expertise. “What is a good feature?” This is a three-decade old question in machine learning. Before we can understand the question, we must first understand what is a feature. In machine learning, features are any observations of a sample that are used to make a prediction or classification. For example, consider the problem of estimating the age of a child (our sample) using a