China's AI advances despite chip limits, fueled by DeepSeek's rise. Focus shifts to practical apps, open-source models, and AI agents. Tech giants and startups are innovating rapidly, with government support shaping the landscape.
DeepSeek's rise highlights AI's integration across industries. Experts discuss its impact, applications in robotics and healthcare, and related challenges.
France aims to become a third global AI leader alongside the US and China. Bolstered by strategic investments, talent, and infrastructure, can it overcome challenges and forge a unique path in AI development?
Google's Agent2Agent Protocol facilitates seamless collaboration among AI agents, establishing a universal framework for interoperability and unlocking greater potential through efficient communication.
Google's Ironwood TPU outperforms supercomputers by 24x and introduces Agent-to-Agent protocol (A2A) for AI collaboration, marking a shift to efficient AI inference.
This security checklist aids developers in identifying and mitigating risks associated with Model Context Protocol (MCP) in AI tools, ensuring a secure AI ecosystem.
Microsoft is strategically adjusting its AI investments, shifting focus from intensive training to cost-effective model deployment and efficient resource allocation, ensuring long-term competitiveness.
ModelScope launches the largest MCP community, featuring premieres from Alipay and MiniMax, accelerating AI Agent development with open-source.
Nio and Alibaba are partnering to integrate Alibaba's AI, including Qwen LLMs, into Nio's smart cockpits, aiming to enhance user experience and accelerate automotive AI innovation. This follows similar partnerships with BMW, marking a significant shift in automotive AI development.
NVIDIA is partnering to build US AI supercomputer facilities, producing Blackwell chips and supercomputers domestically. This initiative boosts American manufacturing, secures the AI supply chain, and drives technological advancement and economic growth in the nation.
