Humans are continuing the endeavor of understanding human intelligence and on the way, the new technologies are born, one of them is information technology. Nowadays the development in the area of artificial intelligence is bringing new ideas to software engineering and enrich it with some powerful tools like deep learning. During the talk, we’ll discuss these tools, the pros, and cons of the implementation and how deep learning and symbolic representation of the problem are related. It will be touched the development and debugging cycle of the deep learning architectures with some examples.
In this talk I presented the technology behind the Fully Automated Store by Checkout Technologies.
The actual version of the store is a result of the work of 12 engineers that spans the areas from hardware
and design to the ultimate deep learning architectures. Will be also discussed the challenges and lessons learnt during
this adventure and what it means to deploy the system which has an AI engine in its core. Creation of the dataset
and the invention of the specific metrics that is capable to measure the accuracy of the entire system will be discussed.
This is my opinionated take-away from JSConf 2017, Verona.
Here bellow I’ll collect some of the most interesting slides, videos and tweets from JSDay.
But at first please meet the awesome speakers