Chipmaking expert Xu Zhenpeng leaves OpenAI-funded startup for Shanghai role

Rising talent in micron-precision 3D printing, Xu Zhenpeng, announced on social media his move from a California startup to an academic position in Shanghai, China. Previously, he led a team developing 3D printing techniques to make chip production faster and cheaper than conventional multimillion-dollar machines.

Xu Zhenpeng, a chipmaking expert, recently revealed on social media his departure from Atomic Semi, a California-based startup funded by OpenAI, to take an academic position at Shanghai Jiao Tong University. The company focuses on micron-precision 3D printing to revolutionize chip production.

Before joining Atomic Semi, Xu co-founded a company in 2016 while pursuing his master's degree in Florida. That venture built and sold compact, high-resolution 3D printers using liquid plastic, aiming to replace bulky, multimillion-dollar conventional machines for faster and cheaper chip manufacturing.

Xu's research at UCLA included printing tiny robots that respond to their surroundings without external controls, using metamaterials engineered to convert mechanical motion into electrical signals. His work has been supported by the US Department of Energy and the National Science Foundation, with connections to figures like Paradigm co-founder Fred Ehrsam.

This move aligns with a broader trend of Chinese scientists returning from the US to China, though specific reasons are not detailed in the sources. Xu's GitHub profile highlights contributions to projects related to ChatGPT, underscoring his expertise at the intersection of AI and manufacturing.

Makala yanayohusiana

Yilun Chen, former Apple robotics expert, joins Tesla's Optimus humanoid robot team in a high-tech lab.
Picha iliyoundwa na AI

Tesla recruits Apple robotics expert Yilun Chen for Optimus team

Imeripotiwa na AI Picha iliyoundwa na AI

Tesla has hired Yilun Chen, a former Apple robotics researcher with nearly four years of experience, to join its Optimus humanoid robot development team. Chen announced the move on LinkedIn, praising Tesla's innovative lab environment after wrapping up his tenure at Apple last week. This hire highlights the intensifying talent competition in the humanoid robotics field.

Chinese semiconductor engineer Xu Zhenpeng says he left the United States for China to pursue a more independent research environment and long-term academic goals. China's rapidly evolving advanced manufacturing research ecosystem was a key driver.

Imeripotiwa na AI

At the AGI-Next summit in Beijing, Alibaba AI scientist Lin Junyang warned that China has less than a 20% chance of exceeding the US in artificial intelligence over the next 3 to 5 years due to resource limits. He pointed out the gap, with US firms like OpenAI pouring massive computational resources into next-generation research while China is stretched thin just meeting daily demands.

Virologist Xia Xian, a rising star in the field, has left the US to return to his alma mater, Wuhan University, as a full-time research professor and principal investigator. He will study viruses that can cause life-threatening diseases at a key biosafety lab. His work centers on structural biology of pathogenic microorganisms using advanced microscopy techniques.

Imeripotiwa na AI

Beijing-based ai-for-science firm dp technology has raised more than 800 million yuan (us$114 million) in series c financing to expand research and development and hire talent. The round attracted backing from a mix of state-linked and venture investors. This comes as interest grows in using ai to speed up scientific discovery.

Chinese researchers have introduced photonic AI chips that promise significant speed advantages in specific generative tasks. These chips use photons instead of electrons, enabling greater parallelism through optical interference. The development could mark a step forward in AI hardware, though claims are limited to narrowly defined applications.

Imeripotiwa na AI

Chinese scientists have developed a supercooling innovation that boosts the performance of gallium nitride chips used in military radar by 40%. This technology, from Xidian University, enhances radar detection in stealth aircraft without increasing chip size. It also offers wider signal coverage and lower power costs for mobile networks.

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