The EU aims to enhance its cooperation with Japan over AI technologies. This move is part of a broader strategy of reducing EU dependency on China.<\/b><\/p>\n
EU Commissioner Thierry Breton is currently engaging with the Japanese government, and AI will be a key topic on his agenda.\u00a0<\/span><\/p>\n \u201cI will engage with [the] Japanese government \u2026 on how we can organize our digital space, including AI based on our shared value,\u201d Breton stated.<\/span><\/p>\n Moreover, Breton announced plans for an EU-Japan Digital Partnership council to discuss areas like quantum and high-performance computing. This follows the EU’s recent council meeting with South Korea, where both parties agreed to collaborate on AI and cyber security technologies.<\/span><\/p>\n Important 1st \ud83c\uddef\ud83c\uddf5\ud83c\uddea\ud83c\uddfa #DigitalPartnership<\/a> Council in Tokyo<\/p>\n Strengthening our #EconomicSecurity<\/a> through enhanced cooperation on:<\/p>\n \u2714\ufe0fResearch & supply chain resilience for #Chips<\/a><\/p>\n \u2714\ufe0f#Investment<\/a> environment for tech (connectivity, 5G\/6G, quantum, HPC, cyber)<\/p>\n \u2714\ufe0fRegulation on #AI<\/a> pic.twitter.com\/BnACBuvXtA<\/a><\/p>\n \u2014 Thierry Breton (@ThierryBreton) July 3, 2023<\/a><\/p><\/blockquote>\n The EU is striking up more strategic partnerships with key Asian countries as they attempt to “de-risk” from China. The EU is building supply chain resilience, reducing reliance on China for critical goods, chemicals, and raw materials.<\/span><\/p>\n High-end chips designed for AI are part of the equation, even though Chinese companies purchase a vast amount of their tech from American firms like Nvidia.<\/span><\/p>\n Breton intends for the EU and Japan to cooperate in manufacturing high-end AI hardware. Last week, a fund backed by the Japanese government proposed a 903.9 billion yen ($6.3 billion) purchase of domestic chipmaking firm JSR. This underlines the country\u2019s intention to bolster its AI tech industry.\u00a0<\/span><\/p>\n AI chips \u2013 also called semiconductors \u2013 play a crucial role in training AI models. <\/span><\/p>\n Currently, very few companies can manufacture AI hardware at scale, an industry where Nvidia dominates<\/a>.\u00a0<\/span><\/p>\n\n