How can the behavior of elementary particles and the structure of the entire universe be described using the same mathematical concepts? This question is at the heart of the recent work by ...

Abstract: Chebyshev interpolation polynomials exhibit the exponential approximation property to analytic functions on a cube. Based on the Chebyshev interpolation polynomial approximation, we propose ...

Shopping for a robot vacuum has become increasingly complicated over the years. Models today offer a wide range of features — and carry an even wider range of price tags. From entry-level models that ...

Unlike traditional approaches that typically test one protein target or drug at a time in hopes of identifying an effective ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

The rapid accumulation of protein sequence data, coupled with the slow pace of experimental annotations, creates a critical need for computational methods to predict protein functions. Existing models ...

Only the exact tools required for the user query are loaded into the agent's context (not all tools from all MCP servers). This prevents LLM confusion and infinite tool loops. End-to-End Flow: A ...