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

Self-driving cars: Near-miss driving data can expedite AV algorithm training

The safety performance of autonomous vehicle (AV) algorithms is boosted by 90% using simulation data that better incorporates ...
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 ...