Tāmaki Makaurau Auckland’s Artificial Intelligence (AI) research will be on global display when the city hosts the 31st International Conference of Neural Information Processing 2024 (ICONIP) this December.
The conference, taking place at Auckland University of Technology (AUT) from December 2-6, 2024, is expected to attract more than 300 researchers, scientists, and industry professionals specialising in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progresses and achievements.
The five-day programme will include technical sessions, tutorials, workshops, plenary/keynote and panel discussion sessions by leading researchers and professionals from both academia and industry, as well as awards to honour outstanding papers presented at this conference.
Last held in New Zealand in 2008, the conference is expected to deliver nearly NZ$600,000 (US$366,681) to Auckland’s economy.
Head of tech and innovation at Tātaki Auckland Unlimited, Marissa Brindley, said: “… Our thriving tech and innovation sector drives productivity and prosperity, delivering an impressive NZ$13.6 billion to the region’s GDP. Hosting ICONIP is a testament to our region’s prowess in this sector and contributes to Auckland being recognised as a globally competitive tech hub.”
The conference bid was led by Maryam Doborjeh, senior lecturer at AUT, with professor Michael Witbrock from the University of Auckland. Both will act as general chair for ICONIP 2024, alongside associate professor Mufti Mahmud from Nottingham Trent University in the UK.
Doborjeh added: “New Zealand has been leveraging AI technologies to enhance data analysis, predictive modelling, and decision-making processes across industries such as healthcare, finance, agriculture, transportation and many more.
“For example, AI-driven data modelling techniques have been utilised to analyse agricultural data for optimising crop yields and resource allocation, as well as in financial institutions for risk assessment and fraud detection. AI-driven health data modelling has also been developed for diagnosis and prognosis of health conditions.
This event was secured with bid and marketing support from Auckland Convention Bureau, a division of Tātaki Auckland Unlimited, and Tourism New Zealand’s Conference Assistance Programme.
