We’re launching Lyria 3.5 in Google Flow Music, with advances across musicality, lyrics, vocals, and creative control
deepmind.google·6d ago
AI Engineering
Hacker News·18d ago·5 min read
Show HN: Find someone in the dark – light them or light yourself? (Three.js)
TL;DR
A new Three.js experiment evaluates two strategies for navigating random 3D worlds. By running a Monte Carlo comparison, both strategies are tested under identical conditions.
✦ Why It Matters
Developers can apply these findings to select more efficient navigation strategies in their own Three.js projects today.
Key Takeaways
- Test both search strategies in simulated environments.
- Use the Monte Carlo method for randomized scenario comparisons.
- Consider environmental factors like terrain and visibility.
- Apply findings to improve search-and-rescue training.
How It Works
The experiment uses Three.js to create a visual simulation where users can manipulate the search strategies. The sweep searchlight moves through a defined pattern, while the raise beacon remains stationary, allowing users to observe how each method performs under different conditions.
By adjusting parameters like the type of missing person and environmental obstacles, users can see the impact on search effectiveness.