The Federal Government has awarded Adelaide’s leading Machine Intelligence company, Consilium Technology, $1 million to accelerate the commercialisation of its revolutionary AgTech product, GAIA. The Accelerating Commercialisation (AC) grant assists Australian businesses to accelerate the development of high-quality products and commercialise novel technology with export potential. Over $181 million has been offered to Australian businesses since the programme was launched in 2014, driving...

The term ‘Artificial Intelligence’, commonly abbreviated as AI, originated way back in 1956. AI became part of pop culture long before it found practical application in homes and businesses, thanks to modern computing power, storage and data availability. Many startup companies are jumping on the AI bandwagon.  Some are claiming to turn data (which they have little or no understanding of) into gold nuggets of valuable insights.  Just like the alchemists who attempted to turn ba...

The advent of machine learning and access to readily available Earth satellite imagery is fostering big data solutions that unlock valuable insights. Earlier this year, Maxar’s DigitalGlobe hosted the 2018 Australia Sustainability Hackathon to leverage the opportunities provided by geospatial big data and high-resolution satellite imagery. When we learned of the competition, we identified an overlap between the issues that the Hackathon Challenge was addressing and the issues that we were...

Technology continues to evolve at a rapid pace. Although this change can be feared, it also presents an incredible opportunity to challenge the status quo and identify new ways to improve. Organisations that embrace this opportunity can use it as a catalyst to thrive in their given industries. Our team at Consilium Technology recently helped the viticulture industry harness the convergence of three exponentially improving technologies: Machine learning, Cloud computing, and Mult...

Machine Intelligence company, Consilium Technology, was announced as a 2018 Impact Awards winner at South Australia’s premier business event on 1 November 2018. The Impact Awards is an industry-led movement that showcases South Australian companies with global ambition to represent the State’s future prosperity. The not-for-profit event is supported by South Australian businesses and influencers who are passionate to help the next generation reach greater heights. Founded in 2015, the award...

State-of-the-art multi-spectral simulation software, developed by Defence Science and Technology (DST), has been licensed to Adelaide SME Consilium Technology to be marketed globally as Infinite Studio. Minister for Defence, the Hon Christopher Pyne MP, today announced the signing of the licensing agreement for the technology which will support virtual and constructive simulation activities for Defence and civilian applications. “This innovative, cutting-edge technology allows users to...

Ranging from highly realistic to immensely abstract, the great artists (da Vinci, Monet, Picasso, van Gogh) had an almost magical ability to represent the world around them. But how might these artists have imagined the world from the point of view of a satellite, looking down on the world from the heavens above? With curiosity as one of our core values at Consilium Technology, a team of our data scientists got together for a one-day hack to find out. https://youtu.be/WT8VxWEZ21Q Obtaining S...

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 also a more implicit kind of learning that takes place all t...

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...

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 effectiv...

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 DigitalGl...

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 third a different set again...

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 a...

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 value I could a...

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 engineer and computer scientist, with the goal of building a compute...

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...

Feature learning will allow machine learning to revolutionise 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...

Let There be a Lighthouse In the preceding post we attempted to locate a queer lighthouse from the incident locations of its uniformly angular distributed flashes upon a straight beach. The geometry of the scenario is shown below. It turned out to be a difficult problem, because the flashpoints assume a Cauchy distribution, which makes the intuitively appealing sample mean totally useless. In this post, we track down the lighthouse by applying sound principles of probabili...

A Light Under a Bushel You're walking along a straight beach at night and you happen to know there's a lighthouse somewhere out to sea, shrouded in darkness on a rocky island. But it is no ordinary lighthouse: it emits flashes in random directions, favouring no angle over any other. Fortuitously, you have a set of sensors rigged up along the coastline that register the incident locations of any flashes that hit the beach. Where is the lighthouse? It turns out that this little pr...

... continued from part 1 Data Augmentation with SMOTE What about the case when we dont know how to peturb the data to ensure that label information is preserved? Well the Synthetic Minority Over Sampling Technique (SMOTE) can be used. Imagine every sample is a point in a multi-dimensional graph, where each dimension of the graph is one of the features. This is commonly referred to as feature space. Select two random samples fromthe same class. Now imagine drawing a line between them in featur...

One of the key components to a successful machine learning product is having sufficient, good quality data to train the classifier. The data samples should be representative of the entire population distribution. Increasing the number of samples reduces the risk of your model over fitting the data. That is, the model is too complex for the data set. The best way to get more samples is to simply go out and collect them. This might mean expensive and time consuming experimental data collection, al...