On 7 March 7 2017, Lieutenant General Liu Guozhi of the Science and Technology Commission of the Central Military Commission stated that “Artificial intelligence … will bring about fundamental changes, and even lead to a profound military revolution.” (Wang Liang et al., “NPC deputy Liu Guozhi: Artificial intelligence will accelerate the process of military transformation“, … Continue reading Militarizing Artificial Intelligence – China (1)
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, … Continue reading Big Data, Driver for Artificial Intelligence… but Not in the Future?
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” … Continue reading Artificial Intelligence – Forces, Drivers and Stakes
Is space mining the short and long-term future for energy and industry?
Nowadays, this question is rooted in the rapid development of the industrial, financial, technological and legal apparatus around the idea of mining asteroids. For example, on 6 January 2015, the US President, then Barack Obama, signed the US commercial space launch competitiveness act. This act aims at “spurring private aerospace competitiveness and entrepreneurship” (US Commercial Space Launch Competitiveness Act). … Continue reading Space Mining, Artificial Intelligence and Transition?
The United Arab Emirates is shifting rapidly towards the artificial intelligence revolution. This shift is expressed by numerous decisions taken by the highest U.A.E. political authorities. For example, on 16 October 2017, the Sheikh Mohamed Bin Rashid Al Maktoum, vice-president of the U.A.E. and ruler of Dubai, appointed Omar Bin Sultan al Olama as minister for artificial intelligence (AI) of the Union. … Continue reading The U.A.E. and the Artificial Intelligence and Sustainability Revolution
This article focuses on the Russian part of the mammoth space cooperation developed between Russia and China and potential geopolitical impacts. This cooperation is further reinforced by the agreement signed the 1 November 2017 that involves six space-related areas, such as lunar and deep space, joint spacecraft development, space electronics, Earth remote sensing data and … Continue reading The Chinese-Russian Robot and Space Strategic Cooperation (2) – Russia
On 1 November 2017, Russian Premier Dmitry Medvedev and Chinese Premier Li Keqiang signed a mammoth deal in space cooperation.
That agreement involves six space-related areas, such as lunar and deep space, joint spacecraft development, space electronics, Earth remote sensing data and space debris monitoring (“China, Russia agree cooperation on lunar and deep space exploration, … Continue reading The Chinese-Russian Robot and Space Strategic Cooperation (1) – China
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.
Impacts and Consequences
Resulting from the Google AI China Center’s opening and then operations, we estimate rising likelihoods to see :
- Redrawing of the power map of the world along AI-power status lines
- Rising competition regarding AI between U.S. and Chinese mammoth Companies
- Human talents as stake in rising AI competition