New computational imaging method cuts X-ray dose while preserving high resolution

Researchers have shown that it's possible to take clear, high-resolution X-ray images using very little radiation. With more ...

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 ...
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

Improved Approximation for 3-Dimensional Matching via Bounded Pathwidth Local Search

Abstract: One of the most natural optimization problems is the k-SET PACKING problem, where given a family of sets of size at most k one should select a maximum size subfamily of pairwise disjoint ...