Forwarded from Do worms dream about torus genus?
YouTube
The Programming Language of Life? (TMEB #1)
There is a deep root of mathematics within biology. How this came to be, you’ll have to watch the video to find out
Books referenced:
https://www.amazon.ca/Introduction-Systems-Biology-Principles-Biological/dp/1584886420
Music:
City Life – Artificial.Music…
Books referenced:
https://www.amazon.ca/Introduction-Systems-Biology-Principles-Biological/dp/1584886420
Music:
City Life – Artificial.Music…
🤔2
Forwarded from AbstractDL
MinD-Vis: диффузия для чтения мыслей
Представлена диффузионная модель, которая умеет декодировать то, что видит человек по его мозговой активности (fMRI).
Сначала авторы обучили self-supervised модель для получения универсальных эмбеддингов мозговой активности (одинаковых для разных людей). Далее они взяли предобученную Latent Diffusion и добавили к ней cross-attention на эти мысленные репрезентации. После короткого файнтюна на 1.5к парах картинка-fMRI модель смогла полноценно декодировать то, что видит перед собой человек!
Данные для обучения и код выложены в открытый доступ, веса моделей дают по запросу.
Статья, GitHub, блог
Представлена диффузионная модель, которая умеет декодировать то, что видит человек по его мозговой активности (fMRI).
Сначала авторы обучили self-supervised модель для получения универсальных эмбеддингов мозговой активности (одинаковых для разных людей). Далее они взяли предобученную Latent Diffusion и добавили к ней cross-attention на эти мысленные репрезентации. После короткого файнтюна на 1.5к парах картинка-fMRI модель смогла полноценно декодировать то, что видит перед собой человек!
Данные для обучения и код выложены в открытый доступ, веса моделей дают по запросу.
Статья, GitHub, блог
Forwarded from Агенты ИИ | AGI_and_RL
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
https://arxiv.org/abs/2211.13382
—-
Placement is an essential task in modern chip design, aiming at placing millions of circuit modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of intense effort by hardware engineers to produce a layout to minimize delay and energy consumption, deep reinforcement learning has become an emerging autonomous tool. However, the learning-centric method is still in its early stage, impeded by a massive design space of size ten to the order of a few thousand. This work presents MaskPlace to automatically generate a valid chip layout design within a few hours, whose performance can be superior or comparable to recent advanced approaches. It has several appealing benefits that prior arts do not have. Firstly, MaskPlace recasts placement as a problem of learning pixel-level visual representation to comprehensively describe millions of modules on a chip, enabling placement in a high-resolution canvas and a large action space. It outperforms recent methods that represent a chip as a hypergraph. Secondly, it enables training the policy network by an intuitive reward function with dense reward, rather than a complicated reward function with sparse reward from previous methods. Thirdly, extensive experiments on many public benchmarks show that MaskPlace outperforms existing RL approaches in all key performance metrics, including wirelength, congestion, and density. For example, it achieves 60%-90% wirelength reduction and guarantees zero overlaps. We believe MaskPlace can improve AI-assisted chip layout design.
https://laiyao1.github.io/maskplace/
https://arxiv.org/abs/2211.13382
—-
Placement is an essential task in modern chip design, aiming at placing millions of circuit modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of intense effort by hardware engineers to produce a layout to minimize delay and energy consumption, deep reinforcement learning has become an emerging autonomous tool. However, the learning-centric method is still in its early stage, impeded by a massive design space of size ten to the order of a few thousand. This work presents MaskPlace to automatically generate a valid chip layout design within a few hours, whose performance can be superior or comparable to recent advanced approaches. It has several appealing benefits that prior arts do not have. Firstly, MaskPlace recasts placement as a problem of learning pixel-level visual representation to comprehensively describe millions of modules on a chip, enabling placement in a high-resolution canvas and a large action space. It outperforms recent methods that represent a chip as a hypergraph. Secondly, it enables training the policy network by an intuitive reward function with dense reward, rather than a complicated reward function with sparse reward from previous methods. Thirdly, extensive experiments on many public benchmarks show that MaskPlace outperforms existing RL approaches in all key performance metrics, including wirelength, congestion, and density. For example, it achieves 60%-90% wirelength reduction and guarantees zero overlaps. We believe MaskPlace can improve AI-assisted chip layout design.
https://laiyao1.github.io/maskplace/
https://youtu.be/mMMerxh_12U
good to get started
good to get started
YouTube
How To Meditate For Beginners - A Definitive Guide
Here's an easy to follow guide that covers exactly how to meditate for beginners. In this comprehensive guide we will cover exactly: where to meditate, how to meditate, what to do with your mind, how long to do it for, and even how long before you start seeing…
🙏3
Forwarded from HN Best Comments
Re: I don’t want to be an internet person
> I don’t want to be anything like these people. I don’t want to be an internet person.
I love this. I got a similar vibe from people who were "too good at IRC," way back in the day. They had a constant, sarcastic, tired energy about them. They had difficulty being genuine about anything. They knew so much and yet they were so stuck in their life somehow. And that sucked the life out of them.
It's like they were too tied to this vague idea of being online that they weren't willing to sacrifice it to have a better life.
The Internet is a tool, not an endpoint.
mattgreenrocks, 1 day ago
> I don’t want to be anything like these people. I don’t want to be an internet person.
I love this. I got a similar vibe from people who were "too good at IRC," way back in the day. They had a constant, sarcastic, tired energy about them. They had difficulty being genuine about anything. They knew so much and yet they were so stuck in their life somehow. And that sucked the life out of them.
It's like they were too tied to this vague idea of being online that they weren't willing to sacrifice it to have a better life.
The Internet is a tool, not an endpoint.
mattgreenrocks, 1 day ago