[Fully rewritten version v3] To exist, risk and foresight products as well as warnings must be delivered to those who must act upon them, the customers, clients or users. These anticipation analyses must also be actionable, which means that they need to include the right information necessary to see action taken. Yet, if you deliver […]
As Cynthia Grabo underlines, a warning does not exist if it is not delivered. Similarly, a foresight product – or risk assessment or horizon scan – has to be delivered. Furthermore, if foresight and warning are to be actionable, then clients or customers – those to whom the product has been delivered – must pay heed to the foresight, or warning. What they decide to do with those is another story. Yet, from the point of view of SF&W, they must receive them, know they have received them and, as much as possible, consider them.
Strategic foresight and futures’ efforts, as well as related literature, with a few exceptions, have rarely focused explicitly on this specific part of the overall process. Yet, it is crucial. As a first step, it has much to learn from the warning part of the activity. Then, both strategic foresight and warning may also have much to learn from the mobile and social networking approach, as it is being …
This article focuses on Deep Learning, the sub-field of Artificial Intelligence that leads the current exponential development of the sector. As we seek to envision how a future AI-powered world will look and what it will mean to its actors, notably in terms of politics and geopolitics, it is indeed fundamental to first understand what is AI.
We shall first give examples of how Deep Learning is used in the real world. We distinguish two types of activities: classical AI-powered activities and totally new AI-activities, related to the very emergence of DL. In both cases we shall point out their revolutionary potential.
Then, we shall take a deeper dive in the world of Deep Learning, taking as practical example the evolution of Google’s DeepMind AI-DL program initially developed to win against human Go masters: AlphaGo, then AlphaGo Zero and finally AlphaZero. After briefly presenting where DL is located within AI, we shall focus first on Deep Neural Networks and Supervised Learning. Second we shall look at the latest evolution with Deep Reinforcement Learning and start wondering if a new AI-DL paradigm, which could revolutionise the current dogma regarding the importance of Big Data, is not emerging.
Editorial – Rediscovering Politics? This week is particularly interesting, especially because of the emergence of new analyses, or rather of the rediscovery of fundamental political dynamics (and, of course, by political I do not mean politician) as fitting perfectly well current and future trends. First, religion on the one hand, science in its high-tech and geo-engineering […]
Each week our scan collects weak – and less weak – signals… Each section focuses on signals related to a specific theme: world (international politics and geopolitics); economy; science; analysis, strategy and futures; technology and weapons; energy and environment. However, in a complex world, categories are merely a convenient way to present information, when facts and events […]
This map of the various movements across the globe can be collaboratively modified and updated through Google maps. To update… It will try to include various detailed maps available online (see below) Afficher Real Democracy Now! – World sur une carte plus grande Latest 26 June 2011 Maps included: Real Democracy Now – Greece Όλες […]