The World Artificial Intelligence Conference (WAIC) in Shanghai experienced its most vibrant event since 2018, with record attendance and high temperatures. Driven by global AI frenzy and official endorsement, tickets were scalped for over 1,000 yuan, attracting industry insiders, parents, and job-seeking graduates.
The World AI Conference (WAIC) in Shanghai highlights China's drive for technological self-reliance amid US chip restrictions. Beijing rejects 'trap' claims regarding its open-source AI promotion, aiming to foster global exchanges and ensure AI benefits reach developing nations.
President Xi Jinping opened China's 2026 World Artificial Intelligence Conference, elevating its status and signaling AI's role as a technological imperative and cornerstone of China's geopolitical strategy amid US tech restrictions.
At China's premier AI conference, scholars and international figures called for greater global cooperation and development-focused AI regulations to prevent a widening digital divide. Representatives from developing economies cautioned against stifling early-stage AI progress.
Chinese President Xi Jinping delivered his first keynote at the World AI Conference, pledging open source AI growth amid rising US-China tensions, hours after a critical US address by Donald Trump.
Alibaba's T-Head open-sources its AI chip software stack to challenge Nvidia's CUDA dominance, aiming to boost developer adoption and China's tech self-sufficiency amid US-China rivalry.
Chinese technology companies and researchers turned out in force at a leading global artificial intelligence conference, despite mounting questions over whether they might avoid the event as a consequence of tense relations between Beijing and Washington. Papers with contributors from mainland China and Hong Kong accounted for over 51 per cent of accepted submissions, compared with just under 32 per cent from the United States, according to statistics compiled from the listed affiliations for...
An Indian independent researcher, Kunvar Thaman, has achieved a significant milestone. His solo-authored paper on measuring exploits in LLM agents has been accepted to the prestigious ICML 2026 conference. This achievement highlights the growing importance of AI safety research. Thaman's work introduces a benchmark to study how AI systems might exploit loopholes.
