Then, a peak-finding algorithm was used to remove the low signal-to-noise background ions and retain the candidate precursor ions and candidate fragment ions (Fig. 1a).

Training a Variational Autoencoder Training a VAE involves two measures of similarity (or equivalently measures of loss). First, you must measure how closely the reconstructed output matches the ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on Variational Quantum Algorithms (VQA). This ...

Yves Tourigny, , A New Moving Mesh Algorithm for the Finite Element Solution of Variational Problems, SIAM Journal on Numerical Analysis, Vol. 35, No. 4 (Aug., 1998), pp. 1416-1438 ...

MicroAlgo's classifier auto-optimization technology, based on variational quantum algorithms, successfully reduces the computational complexity of parameter updates through deep optimization of ...