Abstract: This paper proposes an intelligent hybrid framework based on Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) networks with Particle Swarm Optimization (PSO) to enhance ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

Abstract: Tools based on the use of Large Language Models (LLMs) have improved the computer programming teaching process, automated feedback processes, facilitated program repair, and enabled ...

Aim: Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals are commonly used in educational settings as a strategy to optimise learning. However, research and theory suggest that such ...

If your smart home still feels more like a smart-ish home, make it your mission to make 2026 the year everything starts running as smoothly as it should. Between a genuine push by Big Tech to make the ...