We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable graphics processing units (GPUs) directly led to the development of GPU ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Comprehensive Training Pipelines: Full support for Diffusion Language Models (DLMs) and Autoregressive LMs, from pre-training and SFT to RL, on both dense and MoE architectures. We strongly recommend ...

Short-term power load forecasting is the basis for ensuring the safe and stable operation of the power system. However, because power load forecasting is affected by weather, economy, geography, and ...

Tangent is a new, free, and open-source Python library for automatic differentiation. Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

Abstract: Reinforcement learning (RL) is an effective and increasingly popular machine learning approach for optimization and decision-making. However, modern reinforcement learning techniques, such ...

Neural networks have to capture mathematical relationships in order to learn various tasks. They approximate these relations implicitly and therefore often do not generalize well. The recently ...