The real-world data of power networks is often inaccessible due to privacy and security concerns, highlighting the need for tools to generate realistic synthetic network data. Existing methods ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

The hierarchical flow for clock domain crossing (CDC) and reset domain crossing (RDC) is a methodology used in the verification of large, complex digital integrated circuits. It’s a divide-and-conquer ...

📁 EDU-HRM ECOSYSTEM ├── 🐍 Python Research Environment │ ├── Enhanced PyTorch 2.8.0 (MPS/CUDA support) │ ├── Multi-dataset training pipelines │ ├── Advanced model architectures (RoPE, SwiGLU, RMSNorm ...

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...

This New AI is 100x Faster at Reasoning Than ChatGPT Your email has been sent The tiny Hierarchical Reasoning Model mimics the brain’s structure to solve complex tasks in a single pass — no ...

Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...