Frontiers

Fast PET reconstruction with variance reduction and prior-aware preconditioning

We investigated subset-based optimization methods for positron emission tomography (PET) image reconstruction incorporating a regularizing prior. PET reconstruction methods that use a prior, such as ...
GitHub

Lingadurai03/GFG_DSA_160_JS

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Hacker

10 LeetCode Patterns to Solve 1000 LeetCode Problems

Neetcode's website and YouTube channel provide detailed explanations of different patterns for solving LeetCode problems. "Patterns for Solving LeetCode Problems" by Clement Mihailescu (2021) In this ...
GitHub

p-vs-np

This repository was setup to help people who believe that they solved the P vs NP problem and to help the people who review proposed solutions. Formal verification of the logical incompatibility ...
Frontiers

Invariance of object detection in untrained deep neural networks

The ability to perceive visual objects with various types of transformations, such as rotation, translation, and scaling, is crucial for consistent object recognition. In machine learning, invariant ...
PNAS

The overlap gap property: A topological barrier to optimizing over random structures

The problem of optimizing over random structures emerges in many areas of science and engineering, ranging from statistical physics to machine learning and artificial intelligence. For many such ...
C&EN

Unraveling the Coupling between Conformational Changes and Ligand Binding in Ribose Binding Protein Using Multiscale Molecular Dynamics and Free-Energy Calculations

Laboratory for Biomolecular Function Simulation, RIKEN Center for Biosystems Dynamics Research, Integrated Innovation Building 7F, 6-7-1 minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, Japan ...