How humans use objects in novel ways to solve problems

Building machines that better understand human goals

R squared Does Not Measure Predictive Capacity or Statistical Adequacy

HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

Language Models are Few-Shot Learners

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nyström method

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

Neuroscientists find a way to make object-recognition models perform better

Refugees are at risk from dystopian ‘smart border’ technology

First Steps of a Data Science Project