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Robertbus

09 Feb 2025 - 04:48 pm

Overview of Topaz Labs AI Gigapixel
Topaz Labs AI Gigapixel is the first and only desktop application to use the power of artificial intelligence to enlarge your images while adding natural details for a sharper and more impressive result. This advanced software can use deep learning technology to enlarge images and fill in details that other resizing products leave out, providing breathtakingly sharp prints, high-resolution cropping, and more.

Key Benefits of Topaz Labs AI Gigapixel
AI Gigapixel stands out due to its ability to enlarge images up to 600% while maintaining the quality, clarity, and image details. This capability makes it ideal for various applications, including:

High DPI image conversions for large prints.
Enlarging extensive crops into existing photos for perfect composition.
Enhancing images taken from drones or smartphones.
Making iPhone photos look like they were taken with a DSLR.
Features of Topaz Labs AI Gigapixel
Resize Images to Desired Size: Easily resize images without losing quality.
Maintain Quality, Clarity, and Image Details: Ensures that the resized images retain their original details and sharpness.
Batch Resizing: Change the size of a batch of images simultaneously.
High Scale Enlargement: Scale images up to 600%.
System Requirements and Technical Details
Supported OS: Windows 7/8/10/11
RAM: 8 GB RAM (16 GB recommended)
GPU VRAM: 2 GB RAM (4 GB recommended)
Free Hard Disk Space: 10 GB or more
How to Download and Install Topaz Labs AI Gigapixel
Download: Click on the provided download link to get the Topaz Labs AI Gigapixel installer for Windows.
Install: Open the downloaded installer file and follow the on-screen instructions to complete the installation process.
Launch: Once installed, launch Topaz Labs AI Gigapixel and start enhancing your images.
Conclusion
Topaz Labs AI Gigapixel is an essential tool for photographers and graphic designers who need to upscale their images without losing quality. Its use of artificial intelligence ensures that the enlarged images retain their natural details and sharpness, making it the best photo enlargement product available. Download Topaz Labs AI Gigapixel for Windows today and experience the power of AI in image resizing.

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09 Feb 2025 - 04:47 pm

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Robertfam

09 Feb 2025 - 03:19 pm

Astronomers briefly thought Elon Musk’s car was an asteroid. Here’s why that points to a broader problem
sкракен онион
Seven years after SpaceX launched Elon Musk’s cherry red sports car into orbit around our sun, astronomers unwittingly began paying attention to its movements once again.

Observers spotted and correctly identified the vehicle as it started its extraterrestrial excursion in February 2018 — after it had blasted off into space during the Falcon Heavy rocket’s splashy maiden launch. But more recently, the car spawned a high-profile case of mistaken identity as space observers mistook it for an asteroid.
Several observations of the vehicle, gathered by sweeping surveys of the night sky, were inadvertently stashed away in a database meant for miscellaneous and unknown objects, according to the International Astronomical Union’s Minor Planet Center.

An amateur astronomer noticed a string of data points in January that appeared to fit together, describing the orbit of a relatively small object that was swooping between the orbital paths of Earth and Mars.

The citizen scientist assumed the mystery object was an undocumented asteroid and promptly sent his findings to the MPC, which operates at the Harvard Smithsonian Center for Astrophysics in Cambridge, Massachusetts, as a clearinghouse that seeks to catalog all known asteroids, comets and other small celestial bodies. An astronomer there verified the finding.

And thus, the Minor Planet Center logged a new object, asteroid “2018 CN41.”

Within 24 hours, however, the center retracted the designation.

The person who originally flagged the object realized their own error, MPC astronomer Peter Veres told CNN, noticing that they had, in fact, found several uncorrelated observations of Musk’s car. And the center’s systems hadn’t caught the error.

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