The authors point out that quantum computers are still plagued by high gate error rates, low qubit counts, and extremely slow ...
The Register on MSN
Berkeley boffins build better load balancing algo with AI
One way AI can improve on human work Computer scientists at UC Berkeley say that AI models show promise as a way to discover and optimize algorithms.… In a preprint paper titled "Barbarians at the ...
Researchers from Tsinghua University have developed a groundbreaking optical system for computing that performs feature extraction with unprecedented low latency, which has the potential to ...
Tech Xplore on MSN
RRAM-based analog computing system rapidly solves matrix equations with high precision
Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...
Abstract: Distributed computations, such as distributed matrix multiplication, can be vulnerable to significant security issues, notably Byzantine attacks. These attacks may target either worker nodes ...
Abstract: Intelligent Transportation Systems (ITS) occupy a pivotal position in the contemporary societal landscape, with one of their widespread applications being the vehicle routing problem, ...
The BPPLIB is a collection of codes, benchmarks, and links for the one-dimensional Bin Packing and Cutting Stock problem. If you need to refer to material taken from this library, please cite M.
This project is a Python implementation of a rank-order assignment algorithm to solve the hospital-resident matching problem. The goal is to assign a list of residents to a list of hospitals, based on ...
COPENHAGEN, Denmark — Cataract surgery is a low-risk, low-cost intervention that can improve the quality of life in people with dementia and may prevent progression to some extent.
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