Giving AI geometric awareness allows it to better understand the world

Source Domain: news.ucsb.edu

Artificial intelligence (AI) is increasingly essential in various sectors like healthcare, autonomous vehicles, and AI assistants but lacks a conceptual framework like humans.
The disconnect in how AI systems are trained poses risks of failure and raises concerns about AI use.
Professor Paul Atzberger and his group at UC Santa Barbara are addressing these challenges by integrating common-sense knowledge into AI systems.
They are utilizing concepts from mathematics and differential geometry to enhance geometric understanding in AI algorithms.
This approach provides AI systems with an awareness of the whole and its interconnected parts, leading to more robust AI.
Atzberger’s group recently released version 2.0 of an open-source Python package, available on their GitHub page, along with technical papers detailing their research.

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