Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links ...

Safety mechanisms designed to handle rare events can become unreliable under sustained or intense fault conditions.

A new study by mathematicians at Freie Universität Berlin shows that planar tiling, also known as tessellation, is far more than a decorative ...

Researchers uncover the mathematical structure behind mesmerizing tiling patterns, linking their visual appeal to the ...

Le Xie, Professor of Electrical Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), ...

Here is the AI research roadmap for 2026: how agents that learn, self-correct, and simulate the real world will redefine ...

MIT's insights on materials circularity highlight the need for sustainable practices in construction, prioritizing longevity ...

Discover the top AI tools that help beginners learn automation through simple workflows, visual builders, and clear explanations without coding.

Floquet control uses time-periodic drives to engineer quantum systems, creating dynamic changes in material properties ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Tariffs, EV costs and challenges, and fundamental architectural and technology improvements add up to transformative ...

Ralph Wigum keeps coding work moving by reading prior outputs, ideal for greenfield specs and batch cleanup, giving steady, measurable progress.