DeepSeek faces restrictions on Nvidia AI training chips as export controls tighten, highlighting the impact of semiconductor policy on global AI development.
Microsoft and Tsinghua University are using Nvidia chips to train AI models with synthetic data, aiming to improve privacy protection and reduce dependence on real-world datasets.
Wikipedia has begun signing paid content deals with AI companies, aiming to fund its operations while shaping how its knowledge is used in AI systems.
OpenAI is asking contractors to upload real work samples from past and current jobs to help train and evaluate advanced AI models.
AASTMT has partnered to launch an AI driven marketing education programme aimed at building practical skills in data led and automated marketing.
India proposes mandatory royalties for AI training data, urging tech firms to compensate creators and ensure transparency in model development.
ADMA launches AI training for 29 senior marketers, aiming to bridge the skills gap and prepare the industry for responsible, effective adoption of artificial intelligence.
Adobe and a local industry group launch an AI upskilling and ethics program for Australian marketers, combining hands-on training with practical guardrails on disclosure, data use and measurement.
Capgemini India plans to hire 45,000 professionals in 2025, prioritising AI talent, tier-2 city expansion, and large-scale upskilling initiatives.
