How Tokenmaxxing Became Enterprise AI's Biggest Unforced Error

Goodhart's Law ("When a measure becomes a target, it ceases to be a good measure.") has been around long enough that it ...
Tech Times

Fault-Tolerant Quantum Simulation Overhead Falls 250×: QuEra Architecture Needs Just 1,500 Qubits

Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...
IEEE

An Improved Approximation Algorithm for Scaffold Filling to Maximize the Common Adjacencies

Abstract: Scaffold filling is a new combinatorial optimization problem in genome sequencing. The one-sided scaffold filling problem can be described as given an incomplete genome $(I)$ and a complete ...
IEEE

An Approximation Algorithm for a Task Allocation, Sequencing and Scheduling Problem Involving a Human-Robot Team

Abstract: This article presents an approximation algorithm for a Task Allocation, Sequencing and Scheduling Problem (TASSP) involving a team of human operators and robots. The robots have to travel to ...
GitHub

Fast algorithms to compute an approximation of the minimal volume oriented bounding box of a point cloud in 3D.

Computing the minimal volume oriented bounding box for a given point cloud in 3D is a hard problem in computer science. Exact algorithms are known and of cubic order in the number of points in 3D. A ...
Scientific Research Publishing

Physical Investigation on Robust Algorithms for Inverse Problems of Heterogeneous Metastructures ()

1 Tianjin Engineering Research Center of Civil Aviation Energy Environment and Green Development, Civil Aviation University of China, Tianjin, China. 2 Groupe d’Acoustigue de l’ Université de ...
Frontiers

Editorial: Approximation methods and analytical modeling using partial differential equations

Adequate mathematical modeling is the key to success for many real-world projects in engineering, medicine, and other applied areas. Once a well-suited model is established, it can be thoroughly ...
Frontiers

Greedy knot selection algorithm for restricted cubic spline regression

Non-linear regression modeling is common in epidemiology for prediction purposes or estimating relationships between predictor and response variables. Restricted cubic spline (RCS) regression is one ...
Nature

Data-driven quantum approximate optimization algorithm for power systems

Quantum technology provides a ground-breaking methodology to tackle challenging computational issues in power systems. It is especially promising for Distributed Energy Resources (DERs) dominant ...
Nature

Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set

arising from: Martin J. A. Schuetz et al. Nature Machine Intelligence https://doi.org/10.1038/s42256-022-00468-6 (2022). The recent work by Schuetz et al. 1 ...
BMJ

Machine learning-derived electrocardiographic algorithm for the detection of cardiac amyloidosis

Correspondence to Dr Diana Bonderman, Department of Internal Medicine II, Medical University of Vienna, Wien, Austria; diana.bonderman{at}meduniwien.ac.at Background Diagnosis of cardiac amyloidosis ...