Technology
NSW Transport and Microsoft use machine learning and data to reduce road accidents – ZDNet
The pair ran a trial to identify five potentially risky intersections.

Transport for New South Wales and Microsoft have partnered to develop a proof of concept that uses data and machine learning to flag potentially dangerous intersections and reduce road accidents.
As part of the proof of concept, Transport for NSW ran a trial in Wollongong to uncover five potentially risky intersections. It involved 50 vehicles generating more than a billion rows of data over a 10-month period, before Databricks and Azure were used to curate, ingest, and interpret the data.
The…
-
General22 hours ago
Queensland government strikes new deal with Bravus to defer royalties, expand Carmichael coal mine
-
Noosa News22 hours ago
Heartbreaking CCTV shows father and son moments before fatal crash in Regents Park, Queensland
-
Noosa News21 hours ago
Family’s heartbreak after Trevor Doyle found dead in park in Logan
-
General21 hours ago
Two men involved in fatal helicopter accident charged over stealing crocodile eggs from Kakadu National Park