Our Goal In the fast-evolving landscape of AI, we saw an opportunity to revolutionize local election coverage in our newsroom by reducing manual, repetitive tasks so our journalists could focus on ...

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...

Abstract: Federated learning is gaining attention for its ability to extract knowledge from distributed data streams without sharing client data. In this process, each client continuously collects ...

The OpenTelemetry project has announced that key portions of its declarative configuration specification have reached stable ...

This project provides a framework for controlling robots in robot hardware and MuJoCo simulation through XR (VR/AR) input devices. It allows users to manipulate robot arms using natural hand movements ...

Abstract: Semi-supervised learning (SSL) aims to improve model performance by leveraging abundant unlabeled data in conjunction with limited labeled data. Most existing SSL methods rely on ...

Dr. Weatherby is the director of the Digital Theory Lab at New York University. Dr. Recht is a professor of electrical engineering and computer sciences at the University of California, Berkeley. See ...