Although artificial neural networks are powerful classifiers, their internal structures are hard to interpret. In the life sciences, extensive knowledge of cell biology provides an opportunity to ...

Community ecologists and conservation biologists often work with data that are too sparse for achieving reliable inference with species-specific approaches. Here we explore the idea of combining ...

Background: Variable adherence to assigned conditions is common in randomized clinical trials. Objectives: A generalized modeling framework under longitudinal data structures is proposed for ...

Chromatin-state analysis is widely applied in the studies of development and diseases. However, existing methods operate at a single length scale, and therefore cannot distinguish large domains from ...

Current LLMs depend heavily on Chain-of-Thought prompting, an approach that often suffers from brittle task decomposition, immense training data demands and high latency. Inspired by the hierarchical ...

Forbes contributors publish independent expert analyses and insights. I decode analytics for business people. The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL ...

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 ...