Stable Fast 3D: Rapid 3D Asset Generation from Single Images
Stable Fast 3D is a new technology from Stability AI that rapidly generates high-quality 3D assets from a single image in just 0.5 seconds, ideal for applications in gaming, virtual reality, and various design fields. Built on improvements from the TripoSR model, it features fast inference, enhanced mesh generation, and additional material parameters while being accessible via Hugging Face and the Stability AI API. The model is licensed for non-commercial use and for organizations with annual revenue under $1M, with an option for Enterprise Licenses for larger entities.
How I got my laser eye injury
The author recounts an incident where he sustained a minor laser eye injury due to a mishandled sales demonstration involving a high-power laser system. The demonstration, intended to show a method for removing road striping with a laser, went awry, causing damage to a vehicle and posing significant safety risks. The author emphasizes the importance of proper safety measures and the potential consequences of neglecting them.
Show HN: I am using AI to measure how well cats sit like bread
The text discusses a humorous website, rateloaf.com, dedicated to rating photos of cats sitting like loaves of bread, emphasizing the growing demand for cat loaf evaluations amid an influx of cat images online. It explains the use of advanced AI models, such as YOLO, to recognize and rate these cat loaves by identifying imperfections and differentiating between various features like paws and tails. The author highlights the potential of AI technology in streamlining the evaluation process while humorously reflecting on a personal journey of introspection sparked by observing an unhappy cat.
Fully-automatic robot dentist performs first human procedure
A fully automated robotic dentist developed by Perceptive has successfully performed the world\'s first dental procedure on a human, completing a tooth preparation for a crown in approximately 15 minutes—much faster than the typical two-hour process. Utilizing a hand-held 3D volumetric scanner based on optical coherence tomography, the system eliminates harmful X-ray exposure while achieving a 90% accuracy rate in cavity detection. Although not yet FDA-approved, this technology promises to enhance the efficiency and precision of dental care, potentially improving patient experiences and access to healthcare.
I recreated Shazam\'s algorithm with Go
The GitHub repository "not-shazam," created by Chigozirim Igweamaka, implements Shazam\'s song recognition algorithm and integrates with Spotify and YouTube APIs for music identification and downloading. It requires prerequisites such as Golang, FFmpeg, and MongoDB for installation, with users able to clone the repository, install dependencies, and run specific commands to download songs or find music matches. The project is licensed under the MIT License and showcases a practical application of audio fingerprinting technology.
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