Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...

DeepSeek has introduced Manifold-Constrained Hyper-Connections (mHC), a novel architecture that stabilizes AI training and ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

A group of tech executives, app developers and Silicon Valley philosophers is seeking to streamline the messy matters of the ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...