Artificial Intelligence thread

Coalescence

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Project JARVIS from Microsoft. Some incredible work there
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We introduce a collaborative system that consists of an LLM as the controller and numerous expert models as collaborative executors...
Bro, this is exactly the idea I talked about in this post, just worded differently:
...why not make the LLM act as the language processing and/or the control unit of the system with specialized models trained for certain functions as its subsystem.
I'm happy to see the idea being carried out in reality :D
 

tphuang

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In MLPerf Inference v3.0, Moffett AI showing very good performance using its Sparse Processor Unit Family Had high performance in ResNet vs same # of H100 & higher # of A100

Shows again that Higher TOPS+more advanced process arent only determinant in performance

I'm really surprised we don't hear more about 墨芯人工智能, since their computational architecture seems to be quite ideal and allows 12nm node SPU to out performance H100.
 

Overbom

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NVIDIA. Check out the short demonstrative videos in the link..
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GeNVS: Generative Novel View Synthesis with
3D-Aware Diffusion Models​

Abstract​

We present a diffusion-based model for 3D-aware generative novel view synthesis from as few as a single input image. Our model samples from the distribution of possible renderings consistent with the input and, even in the presence of ambiguity, is capable of rendering diverse and plausible novel views. To achieve this, our method makes use of existing 2D diffusion backbones but, crucially, incorporates geometry priors in the form of a 3D feature volume. This latent feature field captures the distribution over possible scene representations and improves our method's ability to generate view-consistent novel renderings. In addition to generating novel views, our method has the ability to autoregressively synthesize 3D-consistent sequences. We demonstrate state-of-the-art results on synthetic renderings and room-scale scenes; we also show compelling results for challenging, real-world objects.
 

luminary

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‘Mind-reading’ AI:​

Osaka University researchers have used AI to decode subjects’ brain activity to create images of what they are seeing.
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Takagi and his team used Stable Diffusion (SD), a deep learning AI model developed in Germany in 2022, to analyse the brain scans of test subjects shown up to 10,000 images while inside an MRI machine.

After Takagi and his research partner Shinji Nishimoto built a simple model to “translate” brain activity into a readable format, Stable Diffusion was able to generate high-fidelity images that bore an uncanny resemblance to the originals.

The AI could do this despite not being shown the pictures in advance or trained in any way to manufacture the results.

1680999129173.png

My note as a field insider: due to insufficiently advanced materials science and biomedical EM sensor technology, accurate "mind reading" likely dependent on breakthroughs in basic research, decades to a century out. Brain Machine Interfaces are so difficult (in terms of balancing accuracy vs invasiveness ex. wireless MRI vs brain cell-decaying implants), the neuroscience field has been stagnant and directionless for decades.

“I’m optimistic for AI but I’m not optimistic for brain technology,” Takagi said. “I think this is the consensus among neuroscientists.”

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sunnymaxi

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FengWu, a China-developed advanced data-driven medium-range weather forecast system based on
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, was unveiled recently. It can generate high-precision 10-day global weather forecasts within 30 seconds and reduce prediction error by 19.4% compared with traditional physical models..

Image
 

luosifen

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China plans to set up laws governing AI content generation:

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2023-04-12 08:56:16Global Times Editor : Li Yan
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China's cyberspace authority issued a content regulation draft for artificial intelligence (AI) on Tuesday, voicing clear support for innovation, promotion and application in AI algorithms and frameworks. Meanwhile, it called for efforts to ensure fair competition as domestic industry players have been intensively launching related services amid the worldwide ChatGPT frenzy.
The regulation, which is open for public comments until May 10, is seen as a booster for the booming AI sector in China, observers said.
It propels the development of the industry, while it also ensures that progress on the significant but double-edged tool won't be derailed amid rising global concerns.
China supports the independent innovation, popularization and application and international cooperation of basic technologies such as AI algorithms and frameworks. It also encourages the priority use of safe and reliable software, tools, computing and data resources, the Cyberspace Administration of China (CAC) said in the draft regulation published on its website.
Regulations are made to "promote the healthy development and standardized application of generative AI," said the CAC.
According to the draft rules, operators are asked to report to regulators for safety reviews before providing such services to the public, and are urged not to use advantages like algorithms, data and platforms to engage in unfair competition.
The CAC also lays out the ground rules that generative AI services have to follow, including the type of content these products are allowed to generate, saying that companies should ensure the accuracy of information and not generate false information.
It is necessary to introduce this management framework at the moment, as more domestic firms are launching such services, while risks such as data leaks, monopolies and ethical problems are on the rise, Wang Peng, a research fellow at the Beijing Academy of Social Sciences, told the Global Times on Tuesday.

The regulation will clearly guide the way the ahead and boost the development AI in China, Wang said.
Also on Tuesday, Chinese e-commerce giant Alibaba said that all its products and platforms, including the widely used e-commerce platforms Tmall and Taobao, enterprise communication platform DingTalk, and video platform Youku, will be connected to its ChatGPT-like Tongyi Qianwen AI chatbot.
Besides, Tencent has been developing a ChatGPT-like chatbot, which will be integrated into the application of services including QQ and WeChat, Tang Daosheng, a senior executive vice president of Tencent, told thepaper.cn on March 30.
Baidu in February launched its chatbot called "Wenxin Yiyan" in Chinese and "ERNIE Bot" in English.
Liu Dingding, a Beijing-based tech industry observer, told the Global Times on Tuesday that the draft regulation is a relatively new one on the global scene, which can prevent the industry from being derailed as global concerns over the technology have been rising.
According to the Wall Street Journal, the Biden administration has begun examining whether checks need to be placed on AI tools such as ChatGPT. In a first step toward potential regulation, the Commerce Department on Tuesday put out a formal public request for comment on what it called accountability measures, including whether potentially risky new AI models should go through a certification process before they are released.
Making rules is a prerequisite for promoting the development of the industry in China, Pan Helin, the joint director of the Research Center for Digital Economics and Financial Innovation affiliated with Zhejiang University's International Business School, told the Global Times on Tuesday, while stressing the significance of "striking a balance between development and regulation as AIGC will be a major science focus for the future development."
Wang said that the draft rule is just a preliminary version that will be optimized in response to public comments and standards, training systems, laws and regulations will follow.
The Payment & Clearing Association of China on Monday called on industry practitioners to use AI generated chatbot tools like ChatGPT "cautiously" after some in the industry have begun to use similar tools in their work.
A-share listed AI concept stocks closed up 4.58 percent on Tuesday, with COL Digital Publishing rising 20 percent to 26.52 yuan ($3.85). The ChatGPT sector edged up 3.72 percent on Tuesday's closing.
 
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