#jinan-high-tech-district

#jinan-high-tech-district

In recent weeks, China approved the world's first commercial brain-computer interface medical device and unveiled a five-ton class electric vertical takeoff and landing aircraft that has already completed a public flight.

NEO, the implant developed by Neuracle Medical Technology, translates the thoughts of a person with paralysis into movements of an assistive robotic hand, allowing users to perform basic tasks.

China's approach to AI is architecturally different. Where Western tech companies have largely pursued AI as a product category - chatbots, copilots, and standalone tools that can be sold to enterprises - China has treated AI as infrastructure: a utility layer woven into the fabric of commerce, logistics, government services, and daily life.

ByteDance, the parent company of TikTok, is working with a Southeast Asian company on plans to use Nvidia's Blackwell chips in Malaysia for AI research and development. The partner is a Tier 1 Nvidia cloud partner, meaning it gets priority access to Nvidia's latest chips directly from Nvidia. ByteDance plugs in through that relationship to access hardware it cannot legally obtain at home.

Meta is building these chips because buying AI hardware at scale is expensive, and relying too heavily on external suppliers leaves less room to shape that hardware to its own needs. Building more in-house could help the company keep AI costs in check.

People familiar with the matter said the Doubao team has been in talks with major app platforms well ahead of the second-generation launch, focusing on securing limited but functional access for everyday services. Discussions have involved categories such as ride-hailing, food delivery, and ticketing, where deeper system access determines whether an assistant can complete tasks. Those negotiations are now part of the product roadmap, not a post-launch hurdle.

As generative artificial-intelligence models become more sophisticated and eat up more energy to produce images and videos, the electronic chips that power them are reaching their limits of speed and efficiency. Optical chips - semiconductor chips that run on light rather than electricity - could solve these problems, say researchers working in the field. Such chips, also called photonic chips, are still years away from being integrated into consumer computers and are unlikely to wholly replace electronic chips.

The world today is witnessing the dawn of an AI-driven intelligent revolution, Eddie Wu told a developer conference in September. Artificial general intelligence (AGI) will not only amplify human intelligence but also unlock human potential, paving the way for the arrival of artificial superintelligence (ASI). ASI, Wu said, could produce a generation of super scientists' and full-stack super engineers', who would tackle unsolved scientific and engineering problems at unimaginable speeds.

The country's top internet regulator, the Cyberspace Administration of China (CAC), requires that any company launching an AI tool with "public opinion properties or social mobilization capabilities" first file it in a public database: the algorithm registry. In a submission, developers must show how their products avoid 31 categories of risk, from age and gender discrimination to psychological harm to "violating core socialist values."

Instead of paralyzing China's AI sector, these controls have promoted domestic self-reliance. With no choice but to develop indigenous workarounds and architectural innovations, Chinese businesses are decoupling AI progress from sheer hardware volume. U.S. policies have undoubtedly bought time, but they have also ushered in a parallel innovation ecosystem totally independent of Western influence.

Baidu has reportedly invested 20 billion RMB ($2.9 billion) in research and development in recent years, with the majority of this money going to AI. Last year alone, Baidu allocated $200 million to AI and AR development through its Baidu Research arm, which includes dedicated research divisions the Big Data Lab, Silicon Valley Lab, Institute of Deep Learning, and the Augmented Reality Lab, which it launched in February.

The model, released on Tuesday, marks the first time a state-of-the-art multimodal model completed its full training cycle on Chinese-made chips, Zhipu said in a statement. The Beijing-based company trained the model on Huawei's Ascend Atlas 800T A2 devices using the MindSpore AI framework, completing the entire pipeline from data preprocessing through large-scale training without relying on Western hardware.