Deep Learning

On 12 October, Chinese Huawei launched its new Quantum Computing Simulation HiQ Cloud Service Platform (Press Release).  On 13 September 2018, the U.S. House of Representatives approved the “H.R. 6227: National Quantum Initiative Act” with $1.275 billion budget from 2019 to 2023 on quantum research. The Chinese government yearly investment in quantum science is estimated to$ 244 million (CRS, … Continue reading The Coming Quantum Computing Disruption, Artificial Intelligence and Geopolitics (1)

This article explores three major challenges actors face when defining and carrying out their policies and answers in terms of high performance computing power (HPC) and artificial intelligence (AI), considering the political and geopolitical consequences of the feedback relationship linking AI in its Deep Learning component and computing power – hardware – or rather HPC. It builds on the first part, … Continue reading High Performance Computing Race and Power – Artificial Intelligence, Computing Power and Geopolitics (3)

This article focuses on the political and geopolitical consequences of the feedback relationship linking Artificial Intelligence (AI) in its Deep Learning component and computing power – hardware – or rather high performance computing power (HPC). It builds on a first part where we explained and detailed this connection.
Related
Artificial Intelligence,Continue reading Artificial Intelligence, Computing Power and Geopolitics (2)

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, … Continue reading Artificial Intelligence, Computing Power and Geopolitics (1)

2018 could be the year when the U.S. takes back the lead over China with the most powerful supercomputer in the world. It could be the year when the AI-power war over computing power started.
2017 is the year when Artificial Intelligence started creating Artificial Intelligence (AI). It is the year when China overtook the US in the total number of ranked supercomputers and in aggregate computing performance.Continue reading When AI Started Creating AI – Artificial Intelligence and Computing Power

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

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