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
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. …
Continue reading “The Red (Team) Analysis Weekly – US-China tensions escalate – 4 October 2018”
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.
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 […]
Impact on Issues and Uncertainties ➚➚ Accelerating expansion of AI ➚➚ Accelerating emergence of the AI-world ➚ Redrawing of the power map of the world along AI-power status lines ➚ Escalating AI-power race notably between the U.S. and China. ➚ Rising challenge for the rest of the world to catch up ➚ China influence and capability in terms …
Continue reading “Impacts of Chinese Baidu new no-code tool to build AI-programs – Signal”
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. …
The April and May 2018 Chinese successful deep sea explorations in the South China Sea lead to novel future possibilities, including a rising uncertainty in the security and resource sectors for all actors, states and companies alike, involving a complete redrawing of the influence map, of the capabilities needed and relatedly of the strategies and policies to develop and implement.
In this article, we shall focus on the strategic meaning of the rapid integration of artificial intelligence (AI) by the Chinese military, at the level of command and management of warfare operations. In the first article of this series, we saw how the Chinese People’s Liberation Army (PLA) is working to integrate AI to numerous …
Continue reading “Militarizing Artificial Intelligence – China (2)”
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 …
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, a data analysis consulting …
Continue reading “★ Big Data, Driver for Artificial Intelligence… but Not in the Future?”
