By Tanel Pärnamaa, deep learning engineer at Starship Technologies
Artificial neural networks are one of the main tools used in machine learning to convert unstructured, low-level data into higher level information. As the ‘neural’ part suggests, they are brain-inspired systems intended to replicate the way that humans learn.
At Starship, we are building a fleet of autonomous delivery robots using trainable units, including mostly neural networks, where code is written by the model itself. The robots are recording and processing large sets of data in order to recognise surroundings and how to react in real time as each situation requires.
To begin with, the robots start by gaining a sense of the world through radars, a multitude of cameras and ultrasonics. However, this poses challenges because most of this knowledge gained is low-level and non-semantic. [Read more…] about Insight: How neural networks are powering autonomous delivery
