A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...

Discover 7 college majors designed to help students thrive in an AI-driven economy—build skills in leadership, innovation, ...

Incorporating AI into the development workflow is not simply a byproduct of technology hype; rather, it reflects a change in ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

If you ever been curious about how to unlock powerful game development secrets and take your indie projects from zero to hero, then you definitely need to ...

Recent growth in magnetic levitation can be attributed to its ability to minimize friction and disturbance in industries, transportation, aerospace, biomedicine, and magnetic bearings. Due to the ...

This paper defines a new combinatorial optimization problem, namely General Combinatorial Optimization Problem (GCOP), whose decision variables are a set of parametric algorithmic components, i.e.

The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

For the first of these tasks Dr Baker and his colleagues use RF diffusion, an AI model they have developed to predict a ...

How a Kellogg GIM trip unfolded to be a masterclass in astute observation, product design and building intelligent systems ...

In head-to-head tests, Microsoft’s virtual medical council diagnosed correctly four times more often than human doctors, and ...