Thanks to the preliminary peace deal between the U.S. and Iran, it’s no surprise that fossil-fuel giants like Petrobras (PBR) ...

We investigate the impact of a permanent unconditional cash transfer called “Citizen’s Basic Income” in the city of Maricá, Brazil. At the time of the study, the program made monthly household-level ...

Abstract: Computing Power Networks (CPNs) emerged as a promising architectural paradigm that unifies the edge and user-owned eXtreme Edge Devices (XEDs) into an orchestrated compute fabric. By ...

Abstract: Post-training quantization (PTQ) is an effective solution for deploying deep neural networks on edge devices with limited resources. PTQ is especially attractive because it does not require ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian inference of large datasets. The basic PyAutoFit API allows us a user to quickly compose a probabilistic ...

Turing.jl is maintained primarily by academic researchers at grant-funded institutions, with correspondingly limited capacity for triage and review. If you would like to contribute, we ask that ...

Objective We employed a causal inference framework to estimate the counterfactual dose-response effects of light-intensity physical activity (LPA) on mortality across low, medium and high moderate- to ...

Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel ...

Embrace AI education as programs shift focus from theory to hands-on problem-solving. Participate in practical challenges like MachineHack's Groq Real-time AI Agent Hackathon for real-world ...

I am a PhD student at Carnegie Mellon University supervised by Taylor Berg-Kirkpatrick and Graham Neubig. I also collaborate with Kevin Gimpel at the Toyota Technological Institute at the University ...