Results 211 to 220 of about 45,791 (263)

Free quantum computing. [PDF]

Proc Natl Acad Sci U S A
Carette J, Heunen C, Kaarsgaard R, Ross NJ, Sabry A.   +4 more
europepmc   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]

PLoS One
Lella KK, Mallu SRK.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Benchmarking quantum kernels and modern vision models for compound facial expression recognition. [PDF]

Sci Rep
Florestiyanto MY, Surjono HD, Jati H.
europepmc   +1 more source

Factorization Machine with Iterative Quantum Reverse Annealing: A Python Package for Batch Black‐Box Optimization With Reverse Quantum Annealing

Advanced Intelligent Discovery, EarlyView.
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley   +1 more source

A novel quantum convolutional neural network framework for quantum-enhanced classification of pixelated colour images. [PDF]

Sci Rep
Daka C, Bhattacharyya S.
europepmc   +1 more source

AI-quantum framework for accurate infertility risk classification in PCOS patients using EHR data. [PDF]

Front Artif Intell
Sarath T, Brindha K.
europepmc   +1 more source

Search for thermodynamically stable ambient-pressure superconducting hydrides in the GNoME database. [PDF]

Commun Phys
Sanna A, Cerqueira TFT, Cubuk ED, Errea I, Fang YW.   +4 more
europepmc   +1 more source

A new hybrid neural network framework inspired by biological systems for advanced financial forecasting. [PDF]

Sci Rep
Rao C, Xue T, Kan M, Zhou P, Lan Y.
europepmc   +1 more source