IEEE

Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Tempus AI Highlights Strong Growth At The J.P. Morgan Healthcare Conference

Tempus AI's diagnostics segment shows strong pricing power, with Oncology ASP rising from $1,630 to over $2,200. Read why TEM ...
IEEE

High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms

Abstract: The number theoretic transform (NTT) provides a practical and efficient technique to perform multiplication of very large degree polynomials typically found in fully homomorphic encryption ...
Geeky Gadgets

Claude Code Creator Shares an 8-Step Workflow for Faster, Higher-Quality App Development

What if you could transform your coding routine into a seamless, hyper-efficient process that practically runs itself? Alex Finn explains how Boris Churnney, the mastermind behind Claude Code, has ...
Frontiers

Development and validation of multiple machine learning algorithms for differentiating primary central nervous system lymphoma from adult-type diffuse glioma: an interpretable ...

Background: Preoperative differentiation of primary central nervous system lymphoma (PCNSL) from adult-type diffuse glioma(ADG) is important to guide neurosurgical decision-making.To develop and ...