What’s the problem with avoiding things you don’t like? Nothing, if it doesn’t mess things up for you. But many people ...

Abstract: Modeling of a larger mechanical system is inherently difficult due to the complexity of individual processes and the interaction between multiple processes. Using a polynomial model based on ...

Khrystyna Voloshyn, Data Scientist, Tamarack Technology Scott Nelson, Chief Technology and Chief Product Officer, Tamarack ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

Abstract: Timetabling is essential for the organization and functioning of higher education institutions (HEIs). This complex task requires balancing various factors such as availability of teachers, ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex ...