'Vaccine' for machine learning models developed by CSIRO's Data61
Researchers from CSIRO’s Data61 have formalised a technique to ‘vaccinate’ machine learning models against adversarial attacks and make them more robust.
Researchers from CSIRO’s Data61 have formalised a technique to ‘vaccinate’ machine learning models against adversarial attacks and make them more robust.
In 1993, Visa became the first payments network to apply neural networks to calculate, in real-time, the ‘riskiness’ of a transaction.
Gymnasts competing in the Tokyo 2020 Summer Olympics could see their efforts judged and scored by AI and 3D sensing systems, following successful trials of the technology at the International Gymnastics Federation World Cup Series earlier this year.
Researchers at Katholieke Universiteit Leuven have demonstrated how a small, square, printed patch can be used as “cloaking device” to hide people from AI object detectors.
Consumer faith in businesses in most markets worldwide is wallowing in “stagnant distrust” – according to the Edelman Trust Barometer – and Australia is no exception.
Garry Kasparov is probably as famous for the thousands of matches he won during his 15 year reign as world chess champion as the one match he lost, in 1997, to IBM’s chess-playing computer Deep Blue.
Artificial intelligence models developed by Microsoft and Alibaba have, for the first time, outperformed humans in a reading comprehension challenge.
Perth children’s health research institute Telethon Kids has partnered with NEC Australia to explore how algorithms for eye tracking and facial recognition could be used to develop autism detection and diagnosis tools.
An astrophysicist from the Australian National University has applied neural networks to automate the process of analysing and finding particular galaxies.
Artificial intelligence researcher and chief scientist at Baidu, Andrew Ng, sees speech recognition making a much larger impact in the future of mobile and IoT devices than we imagine today.
Text classification, a part of natural language processing, is a useful way to capture insights from the vast array of unstructured online and digital text that exists on the Web. But doing this effectively can be costly and time consuming.