Smart farming, the combination of agriculture, artificial intelligence (AI) and the internet of things (IoT), will help tackle the various challenges of food security, and usher the happenstance of a new world. It will also change what international food security means. We present here some of the features of the new “international smart food security”…. Read More
One of the current focuses regarding Artificial Intelligence is on ethics. For example, on 8 April 2019 the European Commission published its Communication Building Trust in Human-Centric Artificial Intelligence. Google, despite set backs, also tries to implement an AI ethics board (Kelsey Piper, “Exclusive: Google cancels AI ethics board in response to outcry“, Vox, 4… Read More
With this article we shall look more in detail at the relationship between Artificial Intelligence (AI) in its Deep Learning component, and computing power or hardware, a connection we started exploring with our previous article, “When AI Started Creating AI“. The foundations for understanding the link between AI-Deep Leaning and computing power being laid, the… Read More
On 10 and 11 April 2018, Mark Zuckerberg, the founder and chief executive of Facebook went through a two-day congressional testimony in the U.S. (Cecilia Kang et al., “Mark Zuckerberg Testimony: Day 2 Brings Tougher Questioning“, The New York Times, 11 April 2018). The questioning followed the scandal involving Facebook and Cambridge Analytica, a data analysis consulting… Read More
Here we shall present the drivers and forces behind the current exponential development of Artificial Intelligence (AI). Deep Learning, a sub-field of AI, leads this expansion, as we explained in “When Artificial Intelligence will Power Geopolitics – Presenting AI” (open access) and in “Artificial Intelligence and Deep Learning – The New AI-World in the Making” (semi-open… Read More
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 – War and Weak Signals – While progressing through the raw mass of information of The Weekly and editing it, initially, it seemed obvious the editorial should focus on Obama’s visit to Asia, the TPP and especially on the U.S. President’s assertion in the Yomiuri Shimbun regarding the disputed Diaoyu/Senkaku Islands: “The policy of the United States is clear — the Senkaku Islands are administered by Japan and therefore fall within the scope of Article 5 of the U.S.-Japan Treaty of Mutual Cooperation and Security. And we oppose any unilateral attempts to undermine Japan’s administration of these islands” (through Stars & Stripes). The accommodating Chinese News reactions to this American statement, as a willingness to keep the U.S. outside the dispute, are… Read More