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
In this article, we shall analyse the drivers behind the rise in cryptocurrencies’ value and market capitalization and start envisioning future evolutions, focusing notably on Bitcoin and blockchain technology. Previously, we explained what is a cryptocurrency and highlighted the possible revolutionary impact of blockchain, the technology underlying the majority of cryptocurrencies. We, meanwhile described the main features of the three most capitalized cryptocurrencies: Bitcoin, … Continue reading Blockchain, not Bitcoin, the Next Game-Changer?
This article explains further what a cryptocurrency is, with the examples of Bitcoin, Ethereum and Ripple, focusing on the most common underlying technology, the blockchain and its implementation. It underlines commonalities and differences between the three cryptocurrencies, starting highlighting their potential advantages and dangers compared with classical international currencies. It notably singles out one of the main challenges characterizing the Bitcoin phenomenon: energy sustainability.
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.
“Killer Robots” worry the international community. From 13 to 17 November 2017, the Group of Governmental Experts on Lethal Autonomous Weapons Systems (LAWS), also familiarly designed as “killer robots” met for the first time in Geneva (UN Office at Geneva). LAWS are, broadly speaking, autonomous systems (robots) animated by artificial intelligence, which can kill without human decision. … Continue reading When Artificial Intelligence will Power Geopolitics – Presenting AI
The artificial intelligence (AI) world summit took place in Singapore on 3 and 4 October 2017 (The AI summit Singapore). If we follow this global trend of heavy emphasis on AI, we can note the convergence between artificial intelligence and the emergence of “smart cities” in Asia, especially in China (Imran Khan, … Continue reading The Chinese Artificial Intelligence Revolution
This article stresses the paradoxical character of a U.S. decline, and addresses the impossibility for the U.S. to accept its demise as superpower. It applies this framework to the case of the 2017 tensions with North Korea, and deduces a possible future path for the U.S. course of action, as well as possible levers regarding the U.S. … Continue reading The Paradox of U.S. Decline … and the Tensions with North Korea