EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Lobsters·Sep 1·5 min read
Researchers use AI to ‘democratize’ 3D printing of crucial metal alloy
TL;DR
Researchers at Washington State University have developed an AI-driven method to efficiently 3D-print GRCop-42, a high-performance metal alloy, significantly reducing the need for extensive testing. This breakthrough could make the alloy more accessible for various applications, including aerospace, using standard commercial printers.
✦ Why It Matters
Explore commercial 3D printers that can now utilize GRCop-42 for innovative projects.
Key Takeaways
- Investigate AI techniques for optimizing material properties in 3D printing.
- Consider using lower laser power to reduce costs and energy consumption.
- Collaborate with interdisciplinary teams to enhance research outcomes.
- Stay informed about advancements in additive manufacturing technologies.
How It Works
The research team applied AI to analyze results from 37 previously tested configurations, estimating the likelihood of success for untested configurations. This approach allowed them to efficiently select small batches of new configurations that balanced testing promising options with exploring uncertain areas, ultimately leading to successful prints.