An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, ...

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

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 ...

Permanent magnet arc motor (PMAM) is widely used in some scanning systems, such as the astronomical telescopes and large antennas. In order to address the optimization design of the PMAM, a new ...

Fuel cells (FCs) have emerged as a sound promising technology for their application in emissions-free generation systems. Their high efficiency, reliability, and clean energy make these ...

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 ...

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

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

Reflections from a recent panel discussion at DAC, The Chips to Systems Conference held at Moscone West on the CHIPS Act's impact on the design ecosystem ...

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