Artificial Intelligence, climate change and the U.S military

AI, AI Everywhere The Artificial Intelligence field (AI) is creating a continuity that encompasses climate change science and the preparedness of the U.S. military to climate risks. This continuity appears through the central role of AI in two apparently disconnected foresight civilian and military uses. AI and climate science Climate Central published in Nature a […]

Quantum, AI, and Geopolitics (2): The Quantum Computing Battlefield and the Future

A race has started for quantum technologies or quantum information systems (QIS). Indeed, considering initially and notably the consequences in terms of cryptology – dubbed a “crypto-apocalypse” – no country may allow another state or a foreign company to be the first to develop quantum computing.

However, since the initial worry about cryptology somehow triggered the current quantum revolution, the situation has changed, discoveries have taken place… read more

$2 Billion for Next Gen Artificial Intelligence for U.S. Defence – Signal

Impact on Issues and Uncertainties

Critical Uncertainty ➚➚➚ Disruption of the current AI-power race for private and public actors alike – The U.S. takes a very serious lead in the race.
➚➚  Accelerating expansion of AI
➚➚  Accelerating emergence of the AI-world
➚➚ Increased odds to see the U.S. consolidating its lead in the AI-power race.
➚➚ Escalating AI-power race notably between the U.S. and China.
➚➚ Rising challenge for the rest of the world to catch up
Potential for escalating tension U.S. – China, including between AI actors […]

Winning the Race to Exascale Computing – AI, Computing Power and Geopolitics (4)

This article focuses on the race to exascale computing and its multi-dimensional political and geopolitical impacts, a crucial response major actors are implementing in terms of High Performance Computing (HPC) power, notably for the development of their artificial intelligence (AI) systems.  It thus ends for now our series on HPC as driver of and stake for AI, among the five we identified in Artificial Intelligence – Forces, Drivers and Stakes: the classical big data, HPC and the race to quantum supremacy as related critical uncertainty, algorithms, “sensors and expressors”, and finally needs and usages.

The Coming Quantum Computing Disruption, Artificial Intelligence and Geopolitics (1)

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 $ […]

Shaping the Security of the Cyber Future – Agora 41, Strategic Outreach for the French National Cybersecurity Agency

As we enter the “fourth industrial revolution”, the age of the digital transformation, a new emerging “AI-world”, and the “second quantum revolution”, national and international security must adapt. It must do so by anticipating this future world, avoiding surprises related to new – but also old – threats and dangers, while seizing the immense opportunities offered by what is no less than a change of paradigm (For the labels, respectively, Klaus Schwab, World Economic Forum, Helene Lavoix, The Future Artificial Intelligence – Powered World series, The Red (Team) Analysis Society, Jonathan P. Dowling, Gerard J. Milburn, “Quantum Technology: The Second Quantum Revolution”, 13 Jun 2002, arXiv:quant-ph/0206091v1).

Accès à la version française

The strategy related to cyber space and cyber security varies according to countries – and actors. It is handled in various ways by different types of agencies. After having briefly presented the main French, British and American state actors for cyber security, we shall focus on the French outlook and present the ANSSI, its goals and finally new outreach initiative, Agora 41.

Artificial Intelligence, Computing Power and Geopolitics (1)

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 […]

The Red (Team) Analysis Weekly – US-China tensions escalate – 4 October 2018

Each week our scan collects weak – and less weak – signals for political and geopolitical risk of interest to private and public actors. Find out more on horizon scanning, signals, what they are and how to use them: “Horizon Scanning and Monitoring for Anticipation: Definition and Practice“. Read below our latest complimentary Weekly horizon scanning.  […]

The Red (Team) Analysis Weekly – An Obvious 21st Century Conundrum – 11 October 2018

Each week our scan collects weak – and less weak – signals for political and geopolitical risk of interest to private and public actors. Find out more on horizon scanning, signals, what they are and how to use them: “Horizon Scanning and Monitoring for Anticipation: Definition and Practice“. Welcome to the now obvious 21st century conundrum: […]

Artificial Intelligence and Deep Learning – The New AI-World in the Making

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.