Scientific American

This mathematician proved a brilliant theorem to justify his social awkwardness

George Pólya’s random walk theorem absolved him of being a lurker and revealed how the laws of chance interact with physical ...
IEEE

A Data-and-Model-Driven Acceleration Approach for Large-Scale Network-Constrained Unit Commitment Problem With Uncertainty

Abstract: Numerous binary variables and constraints greatly affect the computation of large-scale network-constrained unit commitment (NCUC) problems. With the integration of massive renewable energy ...

TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

William Watson: Does Poilievre really have a Trump problem?

There seemed to be grudging respect among CBC commentators for the 87-per-cent vote of support Pierre Poilievre got at last ...
GitHub

AI and Humanity in Collaboration: Exploring the Riemann Hypothesis

⚠️ Note: The figure generation scripts are currently being consolidated from multiple Jupyter notebooks. Python .py versions will be added progressively for reproducibility. 🗓️ This research was ...
IEEE

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function

Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
Wall Street Journal

Democrats’ Nonprofit Problem

Unruly Republic: A vast, monied network of activist groups keeps the public inflamed on issues including social justice, immigrant rights, Palestinian statehood, LGBTQ rights, and—as ever—climate ...