Johan Paulsson, CTO - Axis Communications

“Dedicated and optimized hardware and software - designed for the specific application - is essential with the move towards greater levels of edge computing. Connected devices will need increased computing power, and be designed for purpose from the silicon up, which is why Axis continues to invest in its own chip. This allows us to design an integrated circuit - or ‘system-on-chip’ - specifically for the video surveillance needs of today and the future and which, as with the latest iteration, ARTPEC-7, is designed with a security-first mindset. The concept of embedded AI in the form of machine and deep learning computation will also be more prevalent moving forwards. For those working with it, AI - or more accurately machine learning and deep learning – has now passed beyond being simply a buzzword, and become an everyday reality. It will therefore attract less attention as an ‘exciting’ tech topic, which may lead some to feel that it has failed to reach its potential. In actual fact it will be being used more than most people will appreciate - it will just be invisible to them. Again, however, one aspect that will need to be addressed is to create new deep learning models that are ‘lighter’, demanding less memory and computational power.”