John is an Australian farmer who had serious problems with rabbits in his wide farm. There are many rabbits in Australia and they consume crops of his farm too quickly. He spends most of his day checking all the area of his farm again and again, to see if rabbits have shown up. Despite the […]
Chatbots for (and with) citizens – Three lessons learnt
Here at U-Hopper, we have gone quite crazy about chatbots lately. For those of you who do not share the hype, chatbots are software programs that, by leveraging artificial intelligence tools and techniques, are able to chat with humans, typically by answering simple questions. At the moment, there is a large variety of chatbots out […]
Mozhdeh, the first FogGuru team member #girlpower
As proud partner of FogGuru project, we introduce you our new team member: in this interview you will get to know Mozhdeh, our new Research Engineer. Straight from Iran, she is still looking for "pasta Alfredo"!
Social profiling is dead (thanks to GDPR): long life to social profiling!
Over the past few weeks, we all got our inbox clogged with emails about changes in privacy policy, requests to reconnect and confirm our personal data with cheesy “Your privacy is important to us” (really??) subject lines etc. This was all due to the entry into force (on May 25th, 2018) of the new EU […]
How U-Hopper is helping IoT startups to reach the market faster
The Internet-of-Things (IoT) landscape is characterised by the rapid emergence of new standards. In many cases no reference implementation is available for said standards, or only partial ones. Companies developing IoT solutions based on such standards face therefore two important issues: Conformance: is my solution compliant to standards? How can I guarantee that? Interoperability: is […]
Can Tapoi really predict your interests?
Summarizing the results of an experiment run with 161 users in order to test the ability of Tapoi’s profiling and modelling capability to actually predict the interests of users.
I lie, you lie, everybody lies: WiFi tracking in the era of MAC randomization
Over the last few years many services have appeared, that use the WiFi signals emitted by smartphones to monitor the presence of people. The leading application of such services has been in the retail analytics sector, where they are widely used to monitor how many people pass in front of a store, how many enter […]