From greedy shortcuts to dynamic programming guarantees, algorithm design techniques are the backbone of efficient problem-solving in computer science. Understanding when and how to apply each ...

Algorithms and data structures are the backbone of efficient problem-solving in tech. By learning their principles and design techniques, you can tackle challenges with precision and creativity.

Every business starts by solving a problem no one has solved before. Over time, it refines that approach into an algorithm it ...

Quantum technologies like quantum computers are built from quantum materials. These types of materials exhibit quantum properties when exposed to the right conditions. Curiously, engineers can also ...

The use of a quantum-inspired algorithm to calculate the unworkably vast potential properties of quantum materials is an ...

For centuries, people tried to build ornithopters that flapped like birds, but none became a practical path to human flight.

A new computational study suggests the Great Pyramid of Giza was built using a sophisticated "Integrated Edge-Ramp" (IER) system, potentially solving a 4,500-year-old architectural enigma. This model ...

In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...

A five-year-old doesn’t need to “learn AI.” But they do need to learn how the world around them thinks. And today, the world ...

AI changed how the funnel works. Acquisition now starts at the bottom — build understanding, credibility, and reach in the ...

The Department of Electrical Engineering and Computer Science's High School Programming Contest brought together student teams from across the state to the U of A for a day of competitive coding.

Big technology, algorithms and AI are shaping our work, our attention and the lens through which we see the world. Just as quickly, our universities, companies and policymakers are expanding programs ...