AI news for: Ml
Explore AI news and updates focusing on ml for the last 7 days.
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New prediction model could improve the reliability of fusion power plants
The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines....
TL;DR
MIT scientists develop a model using machine learning and physics-based simulations to accurately predict plasma behavior during tokamak rampdown, improving the safety and reliability of future fusion power plants.
Key Takeaways:
Key Takeaways:
- The new model achieves a high level of accuracy with a relatively small amount of training data, promising efficient development of future fusion power plants.
- The model's ability to predict plasma behavior during rampdown can help prevent costly disruptions and damage to tokamak interiors.
- The research is a crucial step towards making fusion a reliable and practical source of clean energy.
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions....
TL;DR
MIT engineers have developed a printable aluminum alloy that can withstand high temperatures and is five times stronger than traditionally manufactured aluminum.
Key Takeaways:
Key Takeaways:
- Using machine learning, the team was able to identify a stronger recipe for aluminum alloy, combining aluminum with different elements to achieve higher strength and higher volume fraction of small precipitates.
- The new alloy is 5 times stronger than traditionally manufactured aluminum and 50% stronger than alloys designed using conventional simulations without machine learning.
- The researchers envision that the new printable aluminum could be made into stronger, more lightweight and temperature-resistant products, such as fan blades in jet engines, and are applying similar machine-learning techniques to further optimize other properties of the alloy.
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