This is where Nvidia stock price will stand on May 1, 2026, according to technical analysis done by Finbold's AI agent.

An experiment in composite AI thinking began with a simple premise: submit the same prompt to three frontier models — ChatGPT ...

Micron stock soared more than 40% since late March and Finbold consulted its own AI agent about whether the rally can be ...

We present two accurate and efficient algorithms for solving a group of fluid flow problems based on the Navier-Stokes Equations (NSEs). Both methods use a time-stepping approach with the ...

Abstract: Sparse signal recovery arises from many applications. However, deterministic algorithms often require significant time, especially for large-scale systems. Hence, stochastic algorithms like ...

Abstract: In this letter, we investigate the performance of stochastic coordinate descent algorithms for convex optimization problems from the novel perspective of regret minimization. Specifically, ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Collaborative Innovation Center of Advanced Microstructures, National Laboratory of Solid State Microstructure, & School of Physics, Nanjing University, Nanjing 210093, China ...

The difficulties of algorithmic dynamics in highly nonconvex landscapes are central in several research areas, from hard combinatorial optimization to machine learning. However, it is unclear why and ...