If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

I design and deploy high-impact systems built on LLMs, local inference, and agent architectures. Most scientific algorithms live in MATLAB - image processing and analysis, machine learning ...

callback: A callback function passed information in each iteration step. The information is, in this order: the parameters, the function value, the number of function evaluations, the stepsize, ...

Modern robotic systems—in drones or autonomous vehicles, for example—use a variety of sensors, ranging from cameras and accelerometers to GPS modules. To date, their correct integration has required ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the brain's wiring supports the way we think and act. The study, published June ...

Abstract: In order to improve the convergence speed of the existing LMS algorithms, a new LMS algorithm with variable step size based on the Swish function is proposed, and the effects of the ...

Abstract: This paper introduces a model, M0RV, that improves the MuZero algorithm through data reuse and loss function optimization. It proposes reusing training trajectories generated by Monte Carlo ...

The sliding window is an algorithm typically used for strings or arrays, which allows analyzing a subset of data using a window of fixed or dynamic size. Simply put, the window, in this case, is a ...

In order to improve the performance of Particle Swarm Optimization (PSO) algorithm in solving continuous function optimization problems, a chaotic particle optimization algorithm for complex functions ...