GOOGLE’S NEW SENSOR DENOISNG ALGORITHM brings yet another game changer for LOW LIGHT PHOTOGRAPHY. Within a handful of years, this will be added to other factors coming down the pipe, giving further impetus to a revolution in night vision. The video below speaks for itself. In effect, the system takes a series of images from different angles, exposures, and so on, then accurately reconstructs what is missing:

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The paper “NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images” is available here:
https://bmild.github.io/rawnerf/index.html.

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Half of the universe is filled with expansionist alien civilizations, and it’s only a matter of time before they’ll reach us. OK, that sounded a little sensationalist. But it’s also the conclusion of a recent astrophysics paper. Let’s see how they figure this, and whether we should take it seriously.

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My paper “The flow from simulation to reality” with clickable citations is available here:
https://www.nature.com/articles/s41567-022-01788-5
Read it for free here! https://rdcu.be/cWPfD

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The paper “A Fast Unsmoothed Aggregation Algebraic Multigrid Framework for the Large-Scale Simulation of Incompressible Flow” is available here:
http://computationalsciences.org/publications/shao-2022-multigrid.html.

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Physicists have many theories for the beginning of our universe: A big bang, a big bounce, a black hole, a network, a collision of membranes, a gas of strings, and the list goes on. What does this mean? It means we don’t know how the universe began. And the reason isn’t just that we’re lacking data, the reason is that science is reaching its limits when we try to understand the initial condition of the entire universe.

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The Poplawski paper about how the universe might have been born from a black hole is here: https://link.springer.com/article/10.1007/s10714-021-02790-7

00:00 Intro.
00:25 The Big Bang Theory.
03:47 Why So Many Other Theories?
04:53 The Problem With Cosmology.
07:30 The Importance of Simplicity.
10:57 Stories of Creation.
15:35 Sponsor Message

To help developers protect their applications against possible misuse, we are introducing the faster and more accurate Moderation endpoint. This endpoint provides OpenAI API developers with free access to GPT-based classifiers that detect undesired content — an instance of using AI systems to assist with human supervision of these systems. We have also released both a technical paper describing our methodology and the dataset used for evaluation.

When given a text input, the Moderation endpoint assesses whether the content is sexual, hateful, violent, or promotes self-harm — content prohibited by our content policy. The endpoint has been trained to be quick, accurate, and to perform robustly across a range of applications. Importantly, this reduces the chances of products “saying” the wrong thing, even when deployed to users at-scale. As a consequence, AI can unlock benefits in sensitive settings, like education, where it could not otherwise be used with confidence.

Deepmind takes a step towards general AI!

Two Minute Papers

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The paper “A Generalist Agent (DeepMind Gato)” is available here:
https://www.deepmind.com/publications/a-generalist-agent.

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Their blog post is available here: https://www.wandb.com/articles/better-paths-through-idea-space.

The paper “Emergent Tool Use from Multi-Agent Interaction” is available here:
https://openai.com/blog/emergent-tool-use/

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A new database aims to make it easier than ever to access and search through the world’s massive trove of research papers.

Each year, millions of scientific and academic papers get published across thousands of journals. The majority of those papers lie behind paywalls, costing $9 to $30 (or more) to read. Finding them can be difficult: Tools like Google Scholar allow you to search for paper titles and keywords, but more specialized queries are difficult.

The General Index was designed to reduce those obstacles without breaking the law. Developed by the technologist Carl Malamud and his nonprofit foundation Public Resource, the free-to-use index contains words and phrases from more than 107 million research papers, comprising 8.5 terabytes when compressed.

Circa 2019 o,.o.

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The paper “Emergent Tool Use from Multi-Agent Interaction” is available here:
https://openai.com/blog/emergent-tool-use/

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