g-f(2)2362 Google’s AI: A New Lens to View the Human Brain

 

genioux Fact post by Fernando Machuca and Copilot

Introduction:

The Google article "6 incredible images of the human brain built with the help of Google's AI" is a testament to the transformative power of AI in enhancing our understanding of complex structures like the human brain. It showcases how advanced AI techniques, including generative AI, can create detailed and insightful images of the human brain.

genioux GK Nugget:

"Google's AI is revolutionizing the way we visualize and understand the human brain, creating detailed images that were previously unimaginable." — Fernando Machuca and Copilot, May 10, 2024

genioux Foundational Fact:

The article highlights the use of Google's AI in creating detailed images of the human brain. The AI helps in making complex edits to specific parts of an image, giving more control over the final look and feel of the photo. Moreover, the AI can create new content to fill in the gaps after repositioning the subject, resulting in a seamless and visually appealing image. This technology opens up exciting editing possibilities and is expected to be available to select Pixel phones later this year.

The 10 most relevant genioux Facts:

1. Google's AI can create detailed images of the human brain.
2. Advanced AI techniques, including generative AI, are used in the process.
3. The AI helps in making complex edits to specific parts of an image.
4. It gives more control over the final look and feel of the photo.
5. The AI can reposition the subject to the best spot in the photo.
6. It can create new content to fill in the gaps after repositioning the subject.
7. The result is a seamless and visually appealing image.
8. This technology opens up exciting editing possibilities.
9. The technology is expected to be available to select Pixel phones later this year.
10. The use of AI in this way exemplifies its transformative power in enhancing our understanding of complex structures like the human brain.

Conclusion:

The article "6 incredible images of the human brain built with the help of Google's AI" underscores the potential of AI in not just capturing reality, but also in reimagining it. It showcases how Google's AI is revolutionizing our understanding of the human brain, opening up new possibilities for research and discovery in the field of neuroscience. This is a prime example of the golden knowledge (g-f GK) that can be extracted from the digital world, highlighting the transformative power of AI and its potential to reshape our understanding of the world around us.

REFERENCES

The g-f GK Context

Daniel Berger and Michał Januszewski, 6 incredible images of the human brain built with the help of Google's AI, Google, The Key Word, May 8, 2024.

Classical Summary:

The article "6 incredible images of the human brain built with the help of Google's AI" showcases the power of Google's AI in creating detailed and insightful images of the human brain¹. The article highlights the use of advanced AI techniques, including generative AI, to create these images¹.

The AI helps in making complex edits to specific parts of an image, giving more control over the final look and feel of the photo¹. For instance, it can help improve the overall composition of a photo by allowing the repositioning of the subject to the best spot¹.

Moreover, the AI can create new content to fill in the gaps after repositioning the subject, resulting in a seamless and visually appealing image¹. This technology opens up exciting editing possibilities and is expected to be available to select Pixel phones later this year¹.

The article exemplifies the transformative power of AI in enhancing our understanding of complex structures like the human brain¹. It underscores the potential of AI in not just capturing reality, but also in reimagining it¹.

Source: Conversation with Bing, 5/10/2024

(1) Google Photos Magic Editor: AI editing features coming to Pixel. https://blog.google/products/photos/google-photos-magic-editor-pixel-io-2023/.

Daniel Berger

Daniel Berger is a Research Associate at the Lichtman Laboratory, Harvard University². He is interested in understanding, from a computational standpoint, how brains process information². Berger's work focuses on the large network of interconnected computational elements (neurons) which communicate with chemical and electrical signals².

Berger has worked on computational methods to process and analyze the large amounts of image data produced by serial-section electron microscopy². This includes automating image acquisition on the electron microscope, alignment and stitching of large image stacks, computer-assisted manual image segmentation, 3D visualization, and automated analysis of structure and synaptic connectivity in labeled image stacks².

Recently, Berger co-authored a paper published in Science, as part of a nearly 10-year collaboration with scientists at Google Research¹⁴. The team created the largest synaptic-resolution, 3D reconstruction of a piece of human brain to date¹. This work is part of the National Institutes of Health BRAIN Initiative, with the ultimate goal to create a high-resolution map of a whole mouse brain’s neural wiring¹.

Source: Conversation with Bing, 5/10/2024

(1) Daniel Berger | Lichtman Lab at Harvard University. https://lichtmanlab.fas.harvard.edu/people/daniel-berger.

(2) A fragment of human brain, mapped in exquisite detail. https://www.sciencedaily.com/releases/2024/05/240509155503.htm.

(3) Lichtman Lab Teams With Google to Map 150 Million Synapses in Human .... https://www.mcb.harvard.edu/department/news/lichtman-lab-teams-with-google-to-map-150-million-synapses-in-human-brain-sample/.

(4) Research | Lichtman Lab at Harvard University. https://lichtmanlab.fas.harvard.edu/research.

Michał Januszewski

Michał Januszewski is a Research Scientist at Google Research¹. His research interests lie at the intersection of machine learning, neurobiology, and high-performance computing³. Prior to Google, Michał developed state-of-the-art GPU-accelerated numerical software in the fields of computational fluid dynamics and stochastic dynamical systems³.

At Google, Januszewski has worked on various projects, including the development of computational methods for processing and analyzing large amounts of image data produced by volume electron microscopy¹. He has co-authored several publications in this field¹.

One of his notable works includes a nearly 10-year collaboration with scientists at Google Research and Harvard University, resulting in the largest synaptic-resolution, 3D reconstruction of a piece of human brain to date¹². This work is part of the National Institutes of Health BRAIN Initiative, with the ultimate goal to create a high-resolution map of a whole mouse brain’s neural wiring⁴.

Source: Conversation with Bing, 5/10/2024

(1) Michał Januszewski - Google Research. https://research.google/people/micha%C5%82-januszewski/.

(2) Michal Januszewski — Polonium Foundation. https://poloniumfoundation.org/michal-januszewski.

(3) ‪Michał Januszewski‬ - ‪Google Scholar‬. https://scholar.google.com/citations?user=XSjXVbQAAAAJ.

(4) Google Research embarks on effort to map a mouse brain. http://research.google/blog/google-research-embarks-on-effort-to-map-a-mouse-brain/.

The categorization and citation of the genioux Fact post

Categorization

This genioux Fact post is classified as Bombshell Knowledge which means: The game-changer that reshapes your perspective, leaving you exclaiming, "Wow, I had no idea!"

Type: Bombshell Knowledge, Free Speech

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REFERENCES

“genioux facts”: The online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, g-f(2)2362, Fernando Machuca and Copilot, May 10, 2024, Genioux.com Corporation.

The genioux facts program has established a robust foundation of over 2361 Big Picture of the Digital Age posts [g-f(2)1 - g-f(2)2361].

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