Collaborating Authors

Lockheed Martin partners with Uni of Adelaide on machine learning


Technology and innovation company Lockheed Martin Australia has become the first Foundation Partner with the University of Adelaide's new Australian Institute for Machine Learning. The strategic partnership will deliver world-leading machine learning research for national security, the space industry, business, and the broader community. Machine learning is a form of artificial intelligence that enables computers and machines to learn how to do complex tasks without being programmed by humans. This technology is driving what is known as the "fourth industrial revolution". The University's new Australian Institute for Machine Learning (AIML) – which builds on decades of expertise in artificial intelligence and computer vision – will be based in the South Australian Government's new innovation precinct at Lot Fourteen (the old Royal Adelaide Hospital site).



Artificial intelligence, the science of making computers ''think,'' has long been the preserve of theoreticians who were little concerned with practical applications. ''When they said'real things,' they meant computers that can play chess,'' said Dr. Roger Schank, chairman of the computer science department at Yale University. ''They were not going to talk to Wall Street, let alone own a suit.'' Now, however, business is taking an interest in artificial intelligence, or A.I., and some professors, such as Dr. Schank, are forming or joining companies to capitalize on the expected boom. But the new move toward commercialization is disrupting the academic community and provoking fears that university research will be hurt.

Artificial Intelligence and Data


Our focus on AI and Data at University of Birmingham is two-fold, covering education to bridge sector skills gaps with Degree Apprenticeships and MSc programmes, alongside well established research communities promoting new ways of working and new insights into data and AI. We know the tech world changes rapidly. We are collaborating with industry sectors such as IT and computer science, engineering and professional services by developing innovative courses whilst also promoting the latest insights from research directly to business. Researchers at University of Birmingham and experts from industry are working on various projects for the UKRI AI for Services network initiatives. We are a partner in The Alan Turing Institute, the UK's national institute for data science and artificial intelligence.

Cluster Hiring: AI


Successful candidates will have a Doctoral degree (Ph.D.), publications, and demonstrated research competencies and capabilities commensurate with appointment levels in the department(s) of interest, as well as demonstrated interest in and experience with collaborative teaming and/or transdisciplinary efforts Successful candidates will be expected to develop and maintain externally funded research programs (individual and collaborative), engage in both undergraduate and graduate education, and contribute their leadership, partnering and innovative thinking towards global prominence in their respective discipline. Teaching opportunities will vary by department and teaching qualifications will be considered for fit within respective department(s).

Letters to the Editor

AI Magazine

In this context, "intelligence" is related to statistical and economic notions of rationality -- colloquially, the ability to make good decisions, plans, or inferences. The adoption of probabilistic and decisiontheoretic representations and statistical learning methods has led to a large degree of integration and cross-fertilization among AI, machine learning, statistics, control theory, neuroscience, and other fields. The establishment of shared theoretical frameworks, combined with the availability of data and processing power, has yielded remarkable successes in various component tasks such as speech recognition, image classification, auton omous vehicles, machine translation, legged locomotion, and question-answering systems. As capabilities in these areas and others cross the threshold from laboratory research to economically valuable technologies, a virtuous cycle takes hold whereby even small improvements in performance are worth large sums of money, prompting greater investments in research. There is now a broad consensus that AI research is progressing steadily, and that its impact on society is likely to increase.