Data is everywhere and being created almost constantly. This calls for a new way of handling data.
With traditional data, the person who wants to use the data has to create that data. Although called Artificial Intelligence (AI), traditionally AI needs to be trained with data and outcomes that are known. So researchers have to build the Artificial Intelligence and algorithms to suit the problem and to suit the data. Now, data is generated by machines, leading to great amounts of data yet to be interpreted. Machines generate data at a rate that could go up to hundred thousands of data points a second. This data is being created through media, the cloud, the web, the Internet of Things, sensors, etc. It is no longer possible to connect each of these individual data point to objects in the real world. It is not possible anymore to build the AI, because the data is unknown, and so is the problem or outcome.
This new type of data is in real-time, online, machine generated, in high volumes and granular, and means we need a new paradigm. A paradigm that allows AI to make sense of data collected through for example text, images and videos, especially in social media, and capture feelings, emotions and someone’s personality.
Centre for Data Analytics and Cognition Lab
LBS’ Centre for Data Analytics and Cognition Lab (CDAC) specialises in research and development of cutting-edge artificial intelligence (AI) and machine learning algorithms and the transformation of these into practical tools and technology for business and other practical applications in advanced analytics. The team consist of a group of big data experts with outstanding research and academic achievements on top of many years of industry experience in the areas of finance, telecommunications, IT and business.
CDAC and the new paradigm
One of the key areas CDAC is involved with, building AI that builds itself, called self-structuring AI. The other aspect is that it allows for unsupervised learning. This means that the AI not only builds itself, it also learns by itself. It does not need to be trained. It can still be trained, but it has the capability to learn by itself. The CDAC team then transforms this technology into practical technology, called technological AI building blocks so it can be used to serve the community.
The great news is that collaboration is already taking place with industry, governments and academia.
Contact or visit
For more information visit the Centre for Data Analytics and Cognition.
Donald Whitehead Building, Room 301, Level 3
La Trobe University, Bundoora, VIC 3086
Or visit the website https://www.latrobe.edu.au/cdac