This algorithm integrates the search capabilities of classical computing with the parallel computing characteristics of quantum computing, effectively addressing constrained optimization problems ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new ...

Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

It's easy to solve a 3x3 Rubik's cube, says Shantanu Chakrabartty, the Clifford W. Murphy Professor and vice dean for ...

Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

Not only will agentic AI give companies a competitive edge, but it will also transform business processes and digital ...

A new technical paper titled “Advanced Chiplet Placement and Routing Optimization considering Signal Integrity” was published ...

A weighted multi-objective function is also constructed. Additionally, a Group Merging Particle Swarm Optimization Algorithm (GMPSO) is proposed, incorporating the concept of splitting and ...

In order to obtain more stable solutions, a distributed approximate gradient descent optimization algorithm and conflict resolution mechanism are proposed, which enhances the convergence of our method ...