Optimisation algorithms form the backbone of modern engineering design, enabling automated search for optimal configurations under complex physical, structural and performance constraints. Broadly ...

Building a chemical plant. Developing an airline route. Modeling the shapes of proteins. Each of these actions requires optimization algorithms – the combination of math and theory translated into ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

Most computer algorithms today are developed in high-level languages on general-purpose computers. But someday they may be deployed in embedded systems where the development, verification, and ...

The way products are designed and engineered is changing thanks to new technologies. These technologies, from digital twins to 3D printing, not only support humans in their design and engineering work ...

Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

Algorithms are designed to learn user preferences by observing user behaviour. This causes algorithms to fail to reflect user preferences when psychological biases affect user decision making. For ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

When giant blobs began appearing on city skylines around the world in the late 1980s and 1990s, it marked not an alien invasion but the impact of computers on the practice of building design. Thanks ...

The ultimate measure of success for AI will be how much it increases productivity in our daily lives. However, the industry has huge challenges in evaluating progress. The vast number of AI ...