WSP is using data and machine learning to optimise traffic flow across Auckland’s motorway network. Join us to hear how. Did you know the number of lanes in each direction on the Auckland Harbour Bridge changes multiple times a day according to traffic demand? When demand changes, the Harbour Bridge monitoring dashboard advises when the … Continue reading "Keeping Auckland Moving with Machine Learning"

Tune in to see an interview with this year's Women in AI finalists This year, the Techweek TV sessions have been segmented into the Techweek22 themes. The sessions can be viewed from the comforts of your home office, desk, and anywhere you’ve got a device connected to the internet. You can view the sessions here. Just click play, at the time … Continue reading "TWTV: An interview with this year’s Women in AI finalists"

A live panel discussion with Q&A on the challenges and potential of Artificial Intelligence to help revitalise Te Reo Māori. Join us for a light lunch (or virtually) to hear from our speakers, Wharehuia Dixon and Punahamoa Walker, working on FranklyAI. They will be talking about: What is required to recreate an authentic Te Reo Māori … Continue reading "Authentic Te Reo Māori engagement using Artificial Intelligence"

Women have always played a massive role in advancing digital technology. From its inception with Grace Hopper and her machine-independent programming languages, to the women behind the Apollo space missions, all the way to today’s Susan Wojcicki of Google and YouTube, women have left an indelible mark on the world of technology.

This session is an introductory session for non-technical people who are interested in understanding the fundamentals of AI and ML. Millions of businesses, large and small are trying to get their heads around Artificial Intelligence and Machine Learning and understand what it actually is and most importantly how it can be leveraged to help their … Continue reading "AI & ML “101” for non-technical people"

EdTech startup 'EdPotential' and AWS share insights on accelerating growth

Brought to you by Atlassian, Kiwibots, the University of Auckland Women in Engineering Network, and Centre for Automation and Robotic Engineering Science (CARES)

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