Interesting usage of lithography to imprint nano structures on surfaces. Wondering if there are more processes doing this for non semi conductor related stuff.
News on China's scientific and technological development.
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massive breakthrough. post this in semiconductor thread too. thank you
While it is innovative for them to use litho for machining the nano structure, the litho machine itself is probably a less advanced one for MEMS chips thus not worth posting in the semiconductor thread.
Prof. Pan Jianwei of USTC and his team realized "a new scheme that achieves a scalable, unconditional, and robust quantum metrological advantage".
Unconditional and Robust Quantum Metrological Advantage beyond N00N States
Abstract
Quantum metrology employs quantum resources to enhance the measurement sensitivity beyond that can be achieved classically. While multiphoton entangled N00N states can in principle beat the shot-noise limit and reach the Heisenberg limit, high N00N states are difficult to prepare and fragile to photon loss which hinders them from reaching unconditional quantum metrological advantages. Here, we combine the idea of unconventional nonlinear interferometers and stimulated emission of squeezed light, previously developed for the photonic quantum computer Jiuzhang, to propose and realize a new scheme that achieves a scalable, unconditional, and robust quantum metrological advantage. We observe a 5.8(1)-fold enhancement above the shot-noise limit in the Fisher information extracted per photon, without discounting for photon loss and imperfections, which outperforms ideal 5-N00N states. The Heisenberg-limited scaling, the robustness to external photon loss, and the ease-of-use of our method make it applicable in practical quantum metrology at a low photon flux regime.
Chinese researchers have made a breakthrough by developing a platform that has realized, for world's 1st time, high-pressure in-situ quantum magnetic detection based on silicon vacancy defects in silicon carbide, shedding light on mechanism behind occurrence of superconducting...
Chinese scientists successfully realized photo-induced color changing and photo-induced mechanical motions of cyanostilbene derivative by tuning intra- and intermolecular photoreactions, showing a way to rapidly access controllable photoresponsive system..
China has started the deployment of "AI for Science," a project to promote the use of AI in basic disciplines, as well as research needs in key sci-tech fields, such as drug development, gene research and biology breeding..
NGL the progress of the A.I industry and China's response to it has left me jaded and realize that there's definitely an issue with Chinese innovation. Like China is still behind America in many areas, space, semiconductors, engines etc etc. But that's fine, China is catching up, there's no way such a poor nation could complete with America, it's already been amazing the progress China has made in this mature fields when 30 years ago the country was struggling to feed itself, those are the usual excuses.
But A.I? China was supposed to be neck and neck with America in that area. Even western institutions and mainstream media admits that, china is equal or even surpassing America in A.I. There's so many important A.I research papers with chinese authors, so many money poured into computing/data centers, tech companies and A.I labs. So why is it that every important A.I model released in the last 5 years has been American? Aplhafold, GTP series and it's LLM clones by google/microsoft, video generation models, deepfakes, stable diffusion and other A.I art models etc etc. Sure china catches up within a matter of months, and sometimes releases better versions, but why can't they be first and capture the market? It's not helping their image when they're always on the backfoot, it very much looks like copying. They clearly have the talent, expertise and manpower, LLM were greatly improved with some chinese developed transformer architecture and ChatGTP's development involved some chinese scientists.
Just look at the response to ChatGTP. The entire chinese A.I industry was clearly caught off guard by the success and power of it. Dozens of companies and research labs have announced that they are starting programs to create their own ChatGTP version in the last 5 months. Companies that have already worked on LLMs like Baidu with ERNIE are rushing to improve it and integrate it with their digital ecosystem. But why? LLMs aren't new and GTP-3 was already making big waves back in 2020.
Even an average joe like me could see that GTP-3 was a game-changer that had big potential. You would think that the chinese tech and A.I companies on the forefront of A.I research and development would have seen the potential of GTP-3 and started R&D of similar LLM years ago. But nope, it's clear that most of the companies trying to develop a LLM only just started development only after the success of ChatGTP. The room was already on fire since GTP-3, but they had to wait until they themselves caught fire with ChatGTP and now GTP-4 before running for the fire extinguisher . Even companies that were working LLMs before ChatGTP came out like Baidu admitted that their LLMs are nowhere close to ChatGTP or GTP-4, but even then, why did Baidu not even think of integrating even an average LLM into their digital ecosystem? Why wait until the open AI and microsoft deal to integrate chatGTP into Bing and other microsoft services before Baidu suddenly had the same idea?
It's honestly pathetic to see. What are all those chinese tech companies and A.I labs doing? Were they in some alternate universe when GTP-3 was released back in 2020? Did they not think that GTP-3 wasn't going to be a big deal, or that GTP-4 wasn't going to be a major improvement? Judging by their development speed, it wouldn't take long to catch up, but it's clear that if some aspects of the A.I industry and development were different, China wouldn't have to play catch up at all and would be the ones driving the industry forwards instead of the other way around. It's so frustrating, they clearly have the money, talent, computing power and technical knowledge but something is clearly holding them back. I don't know if it's leadership issues, culture, management issues or censorship.
And like I said, it's not just LLMs. Does China have an answer to AlphaFold? Dalle-2 kickstarted the wave of A.I we're all seeing.
It this always going to be the trend? America releases some brand new novel A.I development, like a self driving A.I that can drive better than any human, or a new A.I architecture that needs a hundred times less data and computing power to train while China always scrambles to play catch up and always be a few months to a year behind?
I hope that the success of ChatGTP and GTP-4 makes the chinese A.I sector take a good hard look at itself and what changes it can make to innovate better. Or actually release their products instead of letting it rot inside of a sever farm.
But A.I? China was supposed to be neck and neck with America in that area. Even western institutions and mainstream media admits that, china is equal or even surpassing America in A.I. There's so many important A.I research papers with chinese authors, so many money poured into computing/data centers, tech companies and A.I labs. So why is it that every important A.I model released in the last 5 years has been American? Aplhafold, GTP series and it's LLM clones by google/microsoft, video generation models, deepfakes, stable diffusion and other A.I art models etc etc. Sure china catches up within a matter of months, and sometimes releases better versions, but why can't they be first and capture the market? It's not helping their image when they're always on the backfoot, it very much looks like copying. They clearly have the talent, expertise and manpower, LLM were greatly improved with some chinese developed transformer architecture and ChatGTP's development involved some chinese scientists.
Just look at the response to ChatGTP. The entire chinese A.I industry was clearly caught off guard by the success and power of it. Dozens of companies and research labs have announced that they are starting programs to create their own ChatGTP version in the last 5 months. Companies that have already worked on LLMs like Baidu with ERNIE are rushing to improve it and integrate it with their digital ecosystem. But why? LLMs aren't new and GTP-3 was already making big waves back in 2020.
Even an average joe like me could see that GTP-3 was a game-changer that had big potential. You would think that the chinese tech and A.I companies on the forefront of A.I research and development would have seen the potential of GTP-3 and started R&D of similar LLM years ago. But nope, it's clear that most of the companies trying to develop a LLM only just started development only after the success of ChatGTP. The room was already on fire since GTP-3, but they had to wait until they themselves caught fire with ChatGTP and now GTP-4 before running for the fire extinguisher . Even companies that were working LLMs before ChatGTP came out like Baidu admitted that their LLMs are nowhere close to ChatGTP or GTP-4, but even then, why did Baidu not even think of integrating even an average LLM into their digital ecosystem? Why wait until the open AI and microsoft deal to integrate chatGTP into Bing and other microsoft services before Baidu suddenly had the same idea?
It's honestly pathetic to see. What are all those chinese tech companies and A.I labs doing? Were they in some alternate universe when GTP-3 was released back in 2020? Did they not think that GTP-3 wasn't going to be a big deal, or that GTP-4 wasn't going to be a major improvement? Judging by their development speed, it wouldn't take long to catch up, but it's clear that if some aspects of the A.I industry and development were different, China wouldn't have to play catch up at all and would be the ones driving the industry forwards instead of the other way around. It's so frustrating, they clearly have the money, talent, computing power and technical knowledge but something is clearly holding them back. I don't know if it's leadership issues, culture, management issues or censorship.
And like I said, it's not just LLMs. Does China have an answer to AlphaFold? Dalle-2 kickstarted the wave of A.I we're all seeing.
It this always going to be the trend? America releases some brand new novel A.I development, like a self driving A.I that can drive better than any human, or a new A.I architecture that needs a hundred times less data and computing power to train while China always scrambles to play catch up and always be a few months to a year behind?
I hope that the success of ChatGTP and GTP-4 makes the chinese A.I sector take a good hard look at itself and what changes it can make to innovate better. Or actually release their products instead of letting it rot inside of a sever farm.
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