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Artificial intelligence research is a particular strength in the School of Computing and Information Systems. Our researchers address many different approaches to AI, encompassing deep learning, data mining, machine learning, natural language processing, and agent-based systems. Our theories and techniques can be applied to a wide range of practical problems, including cyber-security, health, finance and government.
ARTIFICIAL intelligence (AI) just took a step closer to being more powerful than the human brain after a group of computers fared better at scholarly tasks than academics
Academic publishing is affected by the rise of AI, and here’s why. About 2.5 million scientific articles were published in 2014 across 28 journals. It should also be noted that these statistics apply to articles published in English alone. With the wealth of journal articles being published, AI can be a valuable asset for publishers. Using AI, fraudulent data can be detected and plagiarism can be averted as well. AI can decide whether a paper is fit for publication or not.
AI is set to disrupt the scientific community—and that’s a good thing, according to the World Economic Forum. Academic literature has become a significant bottleneck. For instance, more than 70,000 papers have been published on the p53 protein alone. Academics struggle to keep up, while the general public simply can’t. AI can help change the way that published articles are perceived and received, by the general public. A new AI startup, Iris.AI, aims to provide access to and contextualize published research. Yet another example of science mining is Semantic Scholar, which is a search engine created by the Institute for Artificial Intelligence.