Global search engine giant Google intends to partner with tech startup Movidius on a machine-learning project linked to facial and image recognition that could revolutionise the way mobile devices see the world.The partnership aims to bring handsets to life that use face and image recognition for continuous catergorisation of potentially everything around us.The agreement enables Google to deploy its advanced neural computation engine on Movidius' ultra-low-power platform, introducing a new way for machine intelligence to run locally on devices.Movidius' MA2450 is the only commercial solution on the market today with the performance and power-efficiency to perform complex neural network computations in ultra-compact form factors.The machine learning capability means that Google devices will have the ability to understand images and audio with incredible speed and accuracy, offering a more personal and contextualized computing experience.”The technological advances Google has made in machine intelligence and neural networks are astounding. The challenge in embedding this technology into consumer devices boils down to the need for extreme power efficiency, and this is where a deep synthesis between the underlying hardware architecture and the neural compute comes in,” said Remi El-Ouazzane, CEO, Movidius. “Movidius' mission is to bring visual intelligence to devices so that they can understand the world in a more natural way. This partnership with Google will allow us to accelerate that vision in a tangible way.”