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'Passive' visual experiences play a key part in our early learning experiences and should be replicated in AI vision systems, according to neuroscientists. Italian researchers argue there are two types of learning – passive and active – and both are crucial in the development of our vision and understanding of the world. Who we become as adults depends on the first years of life from these two types of stimulus – 'passive' observations of the world around us and'active' learning of what we are taught explicitly. In experiments, the scientists demonstrated the importance of the passive experience for the proper functioning of key nerve cells involved in our ability to see. This could lead to direct improvements in new visual rehabilitation therapies or machine learning algorithms employed by artificial vision systems, they claim.

Blockchain, artificial intelligence and IoT are the future, but are companies ready for the legal issues relating to the new model of business? The Internet of Things obliges companies to change their models of business since one-off contractual relationships where they were selling a product are replaced by long term relationships for the provision of services with continous exchanges of data, potential liabilities and contractual issues. This is enhanced by artificial intelligence and blockchain technologies which increase the potential benefits, but at the same time also with higher reliance on the proper functioning of technologies. The shift that is happening in any business can be quite well represented in the image below of a "pizza as a service". Even the more traditional businesses might turn into a service if for instance, products are no longer purchased as part of specific order, but on the basis of a monthly fee which is calculated on the needs of the purchaser through sensors that collect information on the actual consumption of each product.