Gen Z is entering work at a moment when traditional career ladders are wobbling and headlines about layoffs and stalled ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

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

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 ...

Abstract: Interest in applying Reinforcement Learning (RL) to Autonomous Vehicles (AVs) is experiencing a rapid and substantial expansion. Proximal Policy Optimization (PPO), a well-known RL algorithm ...

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 ...

Algorithmic trading, once the domain of global hedge funds, is now increasingly relevant for HNIs and family offices in India ...

Introduction Paediatric traumatic cardiac arrest (TCA) is a high acuity, low frequency event. Traditionally, survival from TCA has been reported as low, with some believing resuscitation is futile.

Lemmatization is the process of grouping together the inflected forms of a word so they can be analysed as a single item, identified by the word's lemma, or dictionary form. Unlike stemming, ...

Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...

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 ...