Xanadu Develops Quantum Algorithm Closing in on Chemistry’s Toughest Challenge

Xanadu (Xanadu Quantum Technologies Inc.), a world leader in photonic quantum computing, today announced the publication of a ...
Tech Xplore on MSN

Why reinforcement learning breaks at scale, and how a new method fixes it

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...
Scientific Research Publishing

P. Grzegorzewski, “Trapezoidal Approximations of Fuzzy Numbers Preserving the Expected Interval—Algorithms and Properties,” Fuzzy Sets and Systems, Vol. 159, No. 11, 2008 ...

ABSTRACT: In this paper, we introduce a method to obtain the nearest trapezoidal approximation of fuzzy numbers so that preserving conditions expect interval and include the core of a fuzzy number.
IEEE

Approximation Algorithms for Computing Virtual Backbones Considering Routing Costs in Wireless Networks

Abstract: The strategy of constructing a virtual backbone (VB) to perform routing tasks is considered a mature method for addressing the broadcast storm problem in wireless sensor networks (WSNs). A ...
acm.org

Remark on algorithm 162: Near-minimax polynomial approximations and partitioning of intervals

A method of near-minimax polynomial approximation is described. As a by-product, this method provides a formula for an estimate of the maximum error associated with a ...
gc.cuny

Applications and algorithms for topologically correct approximations of curves

Abstract: In applied and numerical algebraic geometry, many problems are reduced to computing an approximation to a real algebraic curve. In order to elevate the results of such a computation to the ...
Scientific Research Publishing

Zhao, X., Sun, Z. and Karniadakis, G.E. (2015) Second-Order Approximations for Variable Order Fractional Derivatives: Algorithms and Applications. Journal of Computational ...

ABSTRACT: Fractional-order time-delay differential equations can describe many complex physical phenomena with memory or delay effects, which are widely used in the fields of cell biology, control ...
The Conversation

Opening the black box: how ‘explainable AI’ can help us understand how algorithms work

David Martens has received funding from AXA JRI. Sofie Goethals has received funding from the Flemish Research Foundation. When you visit a hospital, artificial intelligence (AI) models can assist ...
Frontiers

Improving the convergence of an iterative algorithm for solving arbitrary linear equation systems using classical or quantum binary optimization

1 Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, RJ, Brazil 2 Petróleo Brasileiro S.A., Centro de Pesquisas Leopoldo Miguez de Mello, Rio de Janeiro, Brazil Recent advancements in quantum ...
MIT Technology Review

Algorithms are everywhere

Three new books warn against turning into the person the algorithm thinks you are. Like a lot of Netflix subscribers, I find that my personal feed tends to be hit or miss. Usually more miss. The ...
GitHub

Accelerated Incremental Learning with Support vector Machines

The most trivial form of Incremental learning widely used is dividing our dataset into a number of batches, and lets say that we train on our first batch, obtain a asset of support vectors from the ...