Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

A hybrid geothermal-biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization. Using exergy analysis and particle swarm optimization, the ...

Overview: High-Performance Computing (HPC) training spans foundational parallel programming, optimization techniques, ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

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This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...