Faster quantum computers can learn from their own mistakes

Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of ...
Tech Xplore

Testing the limits of what's possible (and what isn't) with AI

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...
Interesting Engineering

New quantum algorithm could unlock faster AI and scientific computing

Quantum Hermite transform is a new quantum algorithm that could improve AI, simulations, and future quantum computing ...

ACRouter picks the smartest AI model per task, beating Opus-only setups by 2.6x on cost

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...
Tech Xplore

New method extends practical range of high-frequency wireless beam control

Princeton University researchers have found a way to extend the near-field range for sub-terahertz wireless systems using off ...
IEEE

Efficient Approximation Algorithms for the Bounded Flexible Scheduling Problem in Clouds

Abstract: Clouds, such as Amazon Infrastructure-as-a-Service (IaaS) clouds and EMC Hybrid Cloud, impose growing requirements of resource-efficiency scheduling. The bounded flexible scheduling (BFS) ...
IEEE

A Multi-Objective Evolutionary Algorithm Based on Decomposition for Optimal Design of Yagi-Uda Antennas

Abstract: This paper presents a multi-objective evolutionary algorithm based on decomposition (MOEA/D) to design broadband optimal Yagi-Uda antennas. A multi-objective problem is formulated to achieve ...