Nvidia's Bold Move: Taps Into China's AI Talent Pool

Nvidia’s recent strategic decision to bring on board two distinguished young AI experts from Tsinghua University marks a significant step in reinforcing its research capabilities. This move underscores the growing global acknowledgment of Chinese academic prowess in artificial intelligence. By hiring Zhu Banghua and Jiao Jiantao, Nvidia is not only enhancing its capacity to innovate but also forging a bridge between American technological ambitions and Chinese intellectual talent..¹

Zhu Banghua's expertise will be leveraged within Nvidia's Nemotron team, where his focus will be on refining AI model post‑training processes. This complements Nvidia’s goal of advancing the enterprise‑level AI agents that Nemotron is known for, specializing in sophisticated tasks such as multimodal text and visual reasoning. Jiao Jiantao, on the other hand, will dedicate his efforts to pioneering breakthroughs in Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI), domains that hold potential for surpassing current technological capabilities. The synergistic potential of this collaboration suggests exciting prospects for innovation, especially in areas crucial for Nvidia's future growth.¹

The choice to focus on open‑sourcing their research points to a strategic vision that values transparency and collaborative progress. This approach not only accelerates AI advancements by fostering a broader community engagement but also aligns with industry trends where shared development resources enable rapid prototyping and iteration. Both Zhu and Jiao's commitment to this model reflects Nvidia’s understanding of the increasing importance of open‑source initiatives in modern AI research and their potential to catalyze global innovation.¹

Nvidia's leadership in the AI hardware sector is further reinforced by such strategic hires. The parallel trend of major US tech firms, like Google’s DeepMind and Meta, courting Chinese AI researchers, highlights the competitive environment where international tech companies vigorously pursue top‑tier talent. This not only helps maintain Nvidia's dominance but also ensures a dynamic influx of ideas and methodologies that keep its AI solutions at the forefront of technology.¹

Zhu Banghua, a rising star in the realm of artificial intelligence, has been making waves in the research community with his innovative approaches to AI model post‑training. Educated at Tsinghua University, Zhu's expertise lies in enhancing AI model performance after initial training, a critical aspect of AI development that ensures models operate efficiently in real‑world applications. His recent recruitment by the prestigious Nemotron team at Nvidia highlights his growing influence and the increasing importance of his work. Here, Zhu will leverage his skill set to build enterprise‑level AI agents, utilizing his deep understanding of AI systems to advance Nvidia's capabilities in the competitive AI sector. Focused on collaborative research and open‑source methodologies, Zhu represents a new era of global AI collaboration, where expertise transcends geographical boundaries. His work at Nvidia is poised to set new standards for AI development, marking an exciting step forward for the industry. ¹

Jiao Jiantao is a researcher with a profound interest in the future of artificial intelligence, particularly in the realms of AGI and ASI. His academic grounding from Tsinghua University has equipped him with unique insights into cognitive AI systems, which drove his recruitment by Nvidia to push the boundaries in AGI and ASI advancement. Jiao's role involves developing AI that mimics human‑like cognitive functions and eventually exceeds them, a challenging yet crucial frontier in AI research. By focusing on such advanced AI capabilities, Jiao is contributing to Nvidia's strategic goals of maintaining technological leadership in AI research. His commitment to open‑sourcing projects is intended to foster a community‑driven approach to tackling some of the toughest challenges in AI, further enriching the field through diverse perspectives and collaborative innovation. The global AI community eagerly anticipates the breakthroughs that Jiao's work at Nvidia will bring to the evolving landscape of artificial intelligence. ¹

Nvidia's Nemotron team is a pioneering force in the rapidly evolving landscape of artificial intelligence. Specializing in the creation of enterprise‑level AI agents, this team focuses on the development of advanced multimodal models. These models are capable of integrating text and visual reasoning, which broadens their applicability across various industries, especially in tasks that require complex decision‑making processes. The Nemotron team's commitment to innovation ensures that Nvidia remains a leader in AI technology, by continuously pushing the boundaries of what these intelligent systems can achieve in coding and tool implementation.¹

The recent recruitment of Zhu Banghua and Jiao Jiantao signals Nvidia's strategic move to enhance its AI research capabilities. These young Chinese AI experts bring a wealth of knowledge and expertise, aligning perfectly with the Nemotron team's vision to integrate and advance AI systems further. Zhu's focus on AI model post‑training and Jiao’s endeavors in AGI (Artificial General Intelligence) and ASI (Artificial Super Intelligence) present a unique opportunity for Nemotron to delve into cutting‑edge AI territories that may redefine AI's role across various sectors. The collaboration between Zhu, Jiao, and the existing team members is expected to foster a culture of innovation and open‑source development, promoting transparency and inclusivity in AI research.¹

The focus on AGI and ASI within the Nemotron team signifies Nvidia's ambition to lead the forefront of AI research and development. AGI, which seeks to equip AI systems with human‑like cognitive abilities, and ASI, representing the pinnacle of AI advancement that surpasses human intelligence, are at the core of the future strategies for Nvidia. By nurturing talents like Zhu Banghua and Jiao Jiantao, the team aims to not only achieve breakthroughs in these areas but also ensure these advancements are beneficial and ethical for broader societal impact. Nvidia's strategic initiatives within the Nemotron team are not just about leading in technology but also about shaping the global discourse on the ethical integration of AI into daily life.¹

Exploring the realms of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI) stands at the forefront of technological innovation. AGI refers to highly autonomous systems possessing cognitive abilities that, while akin to human intelligence, transcend specific tasks to cover a broad spectrum of activities. Conversely, ASI represents theoretical advancements where an AI's intellect surpasses human intelligence across virtually all domains. This exploration brings to light fascinating intersections between technology and human progress, where the transition from AGI to ASI signifies a leap not just in performance, but in AI's potential to comprehend and contribute to complex human goals and challenges.

Nvidia's strategic hiring of Jiao Jiantao from Tsinghua University to focus on AGI and ASI underscores the significant momentum in this field. Jiao will engage in advanced research aimed at developing AI systems with refined cognitive capabilities, bridging gaps between existing technology and next‑generation AI models. Nvidia's Nemotron team, dedicated to pioneering multimodal models, provides a collaborative platform for cutting‑edge AI research. The innovations driven within such environments are anticipated to not only expedite AI technological advancements but also influence the broader sector's approach to embracing AGI and ASI innovations. You can read more about Nvidia's strategic hirings and their implications.¹

As global powers like the U.S. and China vie for supremacy in AI, the endeavor to achieve AGI and ASI assumes not only technological significance but also geopolitical weight. The recruitment of talented Chinese researchers by international tech giants such as Nvidia, signals a recognition of China's rising prominence in the AI domain. This trend points toward a broader recognition of the need for diverse talent pools and collaborative efforts in realizing the vast yet challenging goals of achieving advanced AI capabilities. The geopolitical implications of leading in AI development are monumental, potentially reshaping global economic landscapes and power dynamics in the decades to come. Learn more about this geopolitical aspect.¹

Open‑sourcing AI research has a profound impact on the advancement of technology and global collaboration. By making AI tools, algorithms, and findings accessible to everyone, it fosters a culture of transparency and democratization in the AI community. This openness allows researchers from various backgrounds to contribute innovatively, accelerating progress and solving complex challenges more efficiently. A notable example is Nvidia's recruitment of Zhu Banghua and Jiao Jiantao, who are keen on open‑sourcing their work, thus embracing a collaborative approach to AI advancements (¹).

The transparency that comes with open‑sourcing AI research also addresses ethical concerns by allowing the public and other experts to scrutinize and refine AI systems. This scrutiny helps in building trust among stakeholders and ensuring that AI developments align with societal values. For instance, as AI capabilities expand towards AGI and ASI, open‑source initiatives can facilitate a broader discussion on the ethical implications of such advanced technologies (¹).

Moreover, open‑sourcing AI research promotes knowledge sharing across international borders, helping different regions to tailor solutions according to their local needs. In a landscape where US tech companies like Nvidia highly regard Chinese talents for their AI expertise, open‑source practices can help bridge gaps and foster a more inclusive global AI ecosystem. This is illustrated by Nvidia's strategic hiring, which not only enhances their capabilities but also taps into the global potential of AI by embracing open‑source philosophies and collaborations (¹).

In recent years, the global recognition of Chinese AI talent has reached new heights, exemplified by Nvidia's strategic recruitment of two young AI experts from Tsinghua University, Zhu Banghua and Jiao Jiantao. This move underscores a significant acknowledgment of the capabilities and contributions of Chinese researchers in the AI field. Notably, Zhu Banghua will join Nvidia's Nemotron team, focusing on AI model post‑training, while Jiao Jiantao will engage in advancing Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). Their recruitment not only highlights their individual achievements but also sheds light on the broader trend of U.S. tech giants eagerly tapping into Chinese AI expertise [0](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research).

The significance of Chinese talent in AI extends beyond Nvidia, as indicated by similar recruitment initiatives by other major U.S. tech companies, such as Google's DeepMind and Meta. This trend stems from the recognition of China's growing prowess in AI research, which has increasingly become a critical element in the race for technological supremacy. By integrating Chinese AI experts into their teams, these companies aim to leverage diverse perspectives and elevate their research capabilities, reinforcing the cross‑pollination of ideas crucial for groundbreaking advancements in the field [7](https://ypredict.ai/news/nvidia‑ai‑strengthens‑research‑capabilities‑with‑top‑chinese‑talent/)[10](http://www.koreapost.com/news/articleView.html?idxno=45042).

Moreover, the decision to hire Zhu and Jiao aligns with Nvidia's broader strategy of maintaining its leading position in the AI hardware sector. The company's market dominance, as evidenced by briefly surpassing Microsoft in market value, is bolstered by acquiring world‑class talent to fuel innovation and explore new technological frontiers. This approach not only strengthens Nvidia's R&D but also illustrates the competitive edge gained by embracing international expertise, setting a precedent for the strategic and inclusive growth of tech enterprises [1](https://www.aa.com.tr/en/americas/us‑chip‑giant‑nvidia‑hires‑2‑chinese‑ai‑experts‑report/3616985)[11](https://trt.global/world/article/94f599297273).

The global recognition of Chinese AI talent also reflects a shift in the geopolitical landscape, where the United States and China are locked in fierce competition for AI leadership. The integration of Chinese researchers into American tech companies raises important considerations regarding intellectual property and innovation sharing. While some view this with skepticism, fearing potential advantages favoring China, others recognize it as a necessary collaboration to foster global AI advancement. These dynamics underscore the geopolitical implications of AI dominance, likened to owning the transformative power akin to the internal combustion engine [3](https://www.pymnts.com/artificial‑intelligence‑2/2024/chinas‑ai‑surge‑could‑impact‑the‑global‑business‑landscape‑experts‑say/).

Ultimately, the recruitment of Zhu Banghua and Jiao Jiantao by Nvidia signals a promising future for international collaboration in AI research. Their commitment to open‑sourcing their work fosters transparency and accelerates development within the AI community. As AI continues to evolve, the fusion of talents from diverse backgrounds is not only desirable but essential for addressing complex global challenges and driving innovation that benefits all of humanity. This trend in recognizing and harnessing Chinese talent positively impacts the socio‑economic fabric of global technology ecosystems [0](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research)[8](https://ts2.tech/en/the‑global‑ai‑revolution‑breakthroughs‑challenges‑and‑the‑road‑ahead‑updated‑2025‑june‑29th‑1601‑cet/).

U.S. tech companies have increasingly turned their attention to the burgeoning pool of AI talent in China, with Nvidia's latest recruitment move being a testament to this trend. The company recently welcomed two promising AI experts, Zhu Banghua and Jiao Jiantao, both hailing from Tsinghua University, a renowned institution for technological prowess in China. These hires are not just about adding numbers to Nvidia's team but about strategically positioning the company at the forefront of AI research and development. By tapping into the expertise of these young researchers, Nvidia aims to bolster its initiatives in both AI model post‑training and the ambitious realms of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI). This move underscores a broader industry pattern where U.S. tech giants such as Google's DeepMind and Meta are actively seeking Chinese talent to maintain their competitive edge in the fast‑evolving AI landscape. [source](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research)

This strategic recruitment by Nvidia aligns with a recognition of China's increasing stature as a powerhouse of AI innovation. Experts point out that Chinese researchers are now second only to American counterparts in contributing top‑tier AI talent to the U.S. This trend not only signals intense competition in the field but also highlights Nvidia's commitment to diversifying its talent pool to include the brightest minds from around the globe. The decision to open‑source the work emphasizes Nvidia's dedication to fostering a collaborative and transparent research environment, facilitating accelerated advancements across the industry. Public reactions have been mixed, reflecting both strategic appreciation and geopolitical concerns, with some perceiving potential risks tied to China's broader AI ambitions. Nevertheless, the integration of such talent is undeniably poised to elevate Nvidia's status in AI innovation. [source](https://ypredict.ai/news/nvidia‑ai‑strengthens‑research‑capabilities‑with‑top‑chinese‑talent/)

Furthermore, these recruitment efforts have far‑reaching implications beyond the immediate technological benefits. Economically, they reinforce Nvidia’s market position, ensuring that the company remains a leader in producing pioneering AI solutions. The focus on AGI and ASI development, spearheaded by researchers like Jiao Jiantao, embodies Nvidia's ambition to not just participate in the AI revolution but to lead its next evolution. Politically, the hiring comes amid heightened U.S.-China tensions over technological dominance, where both nations vie for supremacy in AI capabilities. Observers suggest that while the geopolitical landscape is fraught with competition, there is an underlying opportunity for collaboration in addressing global AI challenges. Nvidia, through these strategic hires, not only strengthens its talent base but also symbolically represents a bridge between two technological superpowers. [source](https://trt.global/world/article/94f599297273)

The recruitment of Zhu Banghua and Jiao Jiantao by Nvidia also contributes to the narrative of shifting global talent dynamics, where cross‑border collaboration is increasingly central to technological advancement. The move casts a spotlight on the importance of embracing diverse insights and skills to enrich research and innovation efforts. As Nvidia continues to enhance its AI capabilities through these strategic hires, it also prompts other U.S. tech companies to reassess their global recruitment strategies, potentially ushering in a more inclusive era of tech development where diverse talent is not only sought but celebrated. Indeed, as AI continues to expand its impact across various sectors, the ability of companies to harness a global pool of expertise will likely determine their success in the coming years. [source](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research)

Nvidia has firmly established itself as a formidable force within the semiconductor industry, particularly in the realm of artificial intelligence (AI) and graphics processing units (GPUs). The company's hardware dominance is not only reflected in its substantial market capitalization but also in its strategic talent acquisitions. Recently, Nvidia made headlines by recruiting two notable AI researchers from Tsinghua University in China. This move is part of a broader trend where US tech companies are actively seeking top Chinese talent, further solidifying Nvidia's position as a leader in AI hardware innovation.¹

Nvidia's decision to strengthen its research team by hiring Zhu Banghua and Jiao Jiantao underscores the importance the company places on evolving its AI capabilities. By integrating expertise from China, a nation recognized for its rapid advancements in AI, Nvidia not only secures cutting‑edge insights into AI model post‑training and AGI advancements but also positions itself as a global leader in AI hardware development. This strategic recruitment signifies Nvidia's commitment to maintaining its competitive edge, particularly in a market where AI technology is increasingly pivotal .

The recruitment of Chinese AI experts by Nvidia also highlights the geopolitical dynamics of the tech industry. With AI being likened to 'owning the internal combustion engine' in terms of its potential impact, securing top‑tier AI talent is crucial for maintaining technological and economic leadership. Nvidia's actions align with its mission to drive innovation and sustain its hardware dominance in the face of global competition, particularly from major players like Microsoft and Google. This move not only enhances Nvidia's research capabilities but also requires careful navigation of intellectual property and geopolitical concerns .

Artificial Intelligence (AI) is playing an increasingly critical role in shaping geopolitical dynamics by influencing power structures, economic competition, and technological advances on a global scale. As nations strive to outpace each other in AI capabilities, the technology becomes a strategic asset akin to historical advancements like the internal combustion engine. This analogy underscores the profound economic and geopolitical implications of AI dominance, where leading in AI technologies can translate into enhanced national security, economic superiority, and geopolitical influence [0](https://www.pymnts.com/artificial‑intelligence‑2/2024/chinas‑ai‑surge‑could‑impact‑the‑global‑business‑landscape‑experts‑say/).

The AI sector has become a battleground for technological supremacy between global powers, most notably the United States and China. Both countries are heavily investing in AI research and development to ensure leadership in this critical field. For example, Nvidia's strategic hiring of top Chinese AI experts, such as Zhu Banghua and Jiao Jiantao from Tsinghua University, highlights the increasing global recognition of Chinese talent and its pivotal role in advancing AI [0](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research). This move echoes broader trends where major U.S. tech companies seek to harness elite Chinese AI research skills [7](https://ypredict.ai/news/nvidia‑ai‑strengthens‑research‑capabilities‑with‑top‑chinese‑talent/).

This international competition is not just about technological prowess but also involves crafting regulatory frameworks and ethical standards to govern AI's deployment globally. China's push towards establishing itself at the forefront of AI development is complemented by regulatory practices that favor local market growth, sometimes sparking concerns about fairness and global competitiveness [11](https://trt.global/world/article/94f599297273). As AI technologies continue to evolve, the development of Artificial General Intelligence (AGI) and the hypothetical Artificial Super Intelligence (ASI) becomes crucial, raising both global competitive stakes and ethical considerations.

AI's influence over geopolitical affairs extends beyond mere economic gains; it is also about setting global norms and creating alliances that can steer the direction of AI development. As countries and corporations collaborate on open‑source AI projects, the potential for innovation accelerates, leading to breakthroughs that could redefine international relations and balance of power. Notably, Nvidia's commitment to open‑sourcing its AI research fosters an environment of transparency and collective advancement within the AI community [1](https://www.newsbytesapp.com/news/science/nvidia‑hires‑2‑ai‑experts‑from‑china/story).

The geopolitical chessboard is rapidly evolving with AI as a central piece. As countries leverage AI to bolster their strategic positions, the importance of fostering international dialogue and cooperation becomes paramount. To address the dual‑use nature of AI technologies—where tools can be utilized for civilian and military purposes alike—it is essential to strike a balance between national security concerns and international collaborative efforts. This delicate balancing act will shape the future landscape of global politics, making AI a defining factor in international relations [3](https://www.brookings.edu/articles/how‑will‑ai‑influence‑us‑china‑relations‑in‑the‑next‑5‑years/).

Nvidia's recruitment of Zhu Banghua and Jiao Jiantao garnered a diverse range of public reactions. Many in the AI community praised this decision, viewing it as a progressive move to bolster Nvidia's research capabilities. The emphasis on open‑source initiatives and the acknowledgment of Chinese talent reflects a commitment to fostering innovation and collaboration on a global scale. This move has been seen as aligning with Nvidia's strategy to remain at the forefront of AI advancements, particularly given the background of the recruits from the prestigious Tsinghua University (¹).

On a broader scope, the recruitment of top Chinese AI experts by Nvidia is recognized by many as part of a broader trend where U.S. tech giants like Google's DeepMind and Meta are increasingly seeking talent from China. This strategy is not only seen as a recognition of the growing pool of talent emerging from China but also as a strategic maneuver to remain competitive globally. Some industry watchers have noted that this move could be indicative of a larger shift towards inclusive global collaboration in AI research, allowing for a more diverse range of perspectives and innovations ().

Yet, not all reactions are positive or neutral. There are underlying geopolitical concerns about the potential implications of such hires, particularly regarding intellectual property and the advancement of China’s AI capabilities. Some skeptics, including voices in various online forums, question whether these moves might give an edge to Chinese technology sectors, affecting the balance of technological power between nations. This reflects broader anxieties about geopolitical tensions that underlie tech acquisitions and hiring strategies in high‑stakes sectors like AI ().

The recruitment of Zhu Banghua and Jiao Jiantao by Nvidia underscores a transformative shift in the economic sphere. By embracing top‑tier Chinese AI talent, Nvidia not only bolsters its competitive edge in the AI market but also reflects a broader trend of global companies recognizing and tapping into the rich talent pool available in China. This strategic hiring amplifies Nvidia's capability to deliver pioneering AI solutions, potentially accelerating innovation in AI technologies and applications, thus driving economic growth. This move positions Nvidia more robustly in the global AI landscape, asserting dominance in a highly competitive environment where the demand for AI breakthroughs is incessant.¹

Socially, Nvidia's emphasis on the open‑source model in AI research represents a significant push towards transparency and collaboration in technological advancement. Open‑sourcing AI fosters a cooperative environment where researchers worldwide can contribute to and benefit from shared knowledge, potentially accelerating the pace of AI development. This democratization of AI technology could stimulate innovation, making AI tools and solutions more accessible and applicable to various domains. Furthermore, the integration of Chinese experts into Nvidia's team exemplifies international collaboration that transcends geographical boundaries, promoting a confluence of diverse ideas and perspectives in AI research.¹

Politically, Nvidia's strategic recruitment of AI experts from China takes place against a backdrop of heightened US‑China competition in the tech sector. This hiring highlights not only the intense race for technological supremacy but also the growing interdependence between the two superpowers in the realm of AI. It presents an impetus for both countries to move beyond rivalry towards collaboration on global challenges such as creating standards for AI governance, which could mitigate risks associated with AI technologies. Such collaboration could pave the way for establishing global norms essential for the responsible and ethical development of AI, propelling both countries to jointly safeguard and shape future AI landscapes .

Nvidia's recent recruitment of Chinese AI experts Zhu Banghua and Jiao Jiantao marks a strategic move into the future of AI, highlighting the company's forward‑thinking approach. By bringing in talent from Tsinghua University, a prestigious institution renowned for its contributions to technology, Nvidia demonstrates its commitment to harnessing global expertise to push the boundaries of AI research. This decision aligns with a broader trend where leading tech companies are actively pursuing top talent from around the world, particularly from China, which is increasingly recognized for its significant contributions to AI. Zhu will focus on AI model post‑training, bringing advanced post‑processing capabilities to Nvidia's projects, while Jiao's focus on AGI (Artificial General Intelligence) and ASI (Artificial Super Intelligence) underscores the company's ambition to lead in the development of cutting‑edge AI technologies. By prioritizing research collaboration and open‑sourcing initiatives, Nvidia is poised to accelerate innovation and maintain its competitive edge in the industry, as detailed in the [South China Morning Post](https://www.scmp.com/tech/big‑tech/article/3316269/nvidia‑taps‑two‑young‑chinese‑ai‑experts‑strengthen‑research).

The geopolitical landscape surrounding AI development is a critical component of Nvidia's road ahead. The recruitment of Chinese talents by a U.S.-based company like Nvidia occurs against a backdrop of intense competition between these two economic giants in the tech sector. This move is both symbolic of and strategic within this broader context. It veers towards fostering more collaboration while recognizing and mitigating the potential geopolitical implications. As experts note, AI dominance has the potential to redefine global leadership in the same transformative manner as the internal combustion engine did. It highlights a requirement for global cooperation, especially as AI technologies like AGI and ASI advance, necessitating ethical governance frameworks and international cooperation to collectively address challenges and opportunities, as explored in [Brookings](https://www.brookings.edu/articles/how‑will‑ai‑influence‑us‑china‑relations‑in‑the‑next‑5‑years/).

Nvidia's steps towards reinforcing its position in the AI hardware sector, as shown by its recent market capitalization milestone, are bolstered by strategic hires such as Zhu and Jiao. This move is not purely about gaining talented individuals but about strengthening its AI capabilities and ensuring its research directions remain at the forefront of technological advancements. The focus on openness in research output, as pursued by these new team members, signals a dedication to transparency and shared progress within the global AI community. This initiative not only enhances Nvidia's market prospects but also positions it as a pivotal player in leading AI research, contributing significantly to the broader trend of technology companies acknowledging China's strategic importance in the field. The positive public perception of this hiring underscores its significance, as analyzed in [NewsBytes](https://www.newsbytesapp.com/news/science/nvidia‑hires‑2‑ai‑experts‑from‑china/story).