IEEE

GNN Model With Robust Finite-Time Convergence for Time-Varying Systems of Linear Equations

Abstract: Dynamic neural networks are considered as an effective method in the field of scientific computing, among which gradient neural networks (GNNs) are an efficient method for solving static ...
Reuters

Exclusive: China's DeepSeek trained AI model on Nvidia's best chip despite US ban, official says

WASHINGTON, Feb 23 (Reuters) - Chinese AI startup DeepSeek's latest AI model, set to be released as soon as next week, was trained on Nvidia's (NVDA.O), opens new tab most advanced AI chip, the ...
Digit

Google launches Gemini 3.1 Pro AI model for complex problem-solving: Check availability

Google has launched Gemini 3.1 Pro, a new AI model built to handle complex problem-solving tasks. The upgrade is part of the Gemini 3 family and ‘represents a step forward in core reasoning,’ ...
Android Authority

Gemini 3.1 Pro is here with better reasoning and problem-solving

Google is rolling out Gemini 3.1 Pro as a preview. The upgraded model improves reasoning and problem-solving. There’s no date for when Gemini 3.1 Pro will be generally available, but Google says it ...
IEEE

Sequential Linear Programming With Adaptive Linearization Error Limits for All-Time Feasibility

Abstract: This letter presents an enhanced Trust Region Method (TRM) for Sequential Linear Programming (SLP) designed to improve the initial feasible solution to a constrained nonlinear programming ...