The world of Artificial Intelligence today is still centered around the aspiration for machines to understand: from virtual assistants capable of anticipating our needs and helping us drafting emails or handling our complex schedule, to self-driving cars, and personalized medicine. These are just some examples of how machines need to acquire, demonstrate, and apply understanding. Today's investments in public research and in the private sector are directed at cracking the nut of machines that understand. But the breadth of techniques goes well beyond what it did even ten years ago. In light of today's relevance of Cognitive Artificial Intelligence, we are happy to announce the Cognitive Artificial Intelligence Meetup #CAIM ("Kay-im").