The global humanoid robot industry is shifting from technology validation to commercial trials, with the US and China adopting distinct strategies. The US leads in AI ecosystem development, focusing on intelligence and data-driven improvements, while China emphasizes supply chain integration and rapid product scaling. This divergence highlights the US's strength in AI chips and robotics platforms versus China's manufacturing scale and component supply. The future competitiveness will depend on sustainable business models combining scale, data, and profitability, with multiple players expected to coexist globally.
A low-cost AI model from China, Moonshot AI's Kimi K3, has sparked renewed discussion about spending on memory and compute power. Despite concerns that cheaper AI could reduce demand for expensive hardware, analysts suggest that U.S. chip makers like...
Jim Cramer warns that the AI stock trade has become too unpredictable and suggests investors should temporarily move their money into high-quality companies outside the technology sector, such as Goldman Sachs, Wells Fargo, FedEx, Honeywell, and Boei...
The KraneShares Public-Private AI & Technology ETF (AGIX) provides diversified exposure across AI hardware, infrastructure, and applications, including both public and private companies like Anthropic. It is positioned to benefit from the shift towar...
Infinity, an AI infrastructure startup, raised $15 million at a $100 million valuation to develop software that enables AI models to run efficiently on various chips beyond Nvidia's GPUs. Their technology aims to create a CUDA-like universal inferenc...
NVIDIA announced new Omniverse libraries integrated into its Agent Toolkit, providing AI agents with tools to prepare 3D content for physical AI simulation. These libraries support sensor simulation, GPU-accelerated physics, and asset validation, hel...
