techtimes

Meta Stock Hits Record $670 as AI Build Cost Undercuts Wall Street Model by Half

Facebook debuts its new company brand, Meta, at their headquarters on October 28, 2021 in Menlo Park, California. Meta will focus on ushering in a future of the metaverse and beyond. Kelly ...
Tech Times

South Korea Codifies AI Red Teaming, Ending Era of Unverifiable Security Claims

AI red teaming now has a government-defined standard for the first time worldwide. South Korea’s Ministry of Science and ICT ...
Barchart on MSN

Here’s why the collapsing Petrobras stock price could be a discounted opportunity

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

Welfare Effects of a Permanent Unconditional Cash Transfer Program: Evidence from Maricá, Brazil

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 ...
BMJ

Dose-response interplay between light and moderate-to-vigorous physical activity on all-cause mortality risk: a causal inference analysis

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 ...
IEEE

Improving Post-Training Quantization via Probabilistic Programming

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 ...
VentureBeat

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

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 ...
GitHub

InferPy: Deep Probabilistic Modeling Made Easy

InferPy is a high-level API for probabilistic modeling written in Python and capable of running on top of Edward and Tensorflow. InferPy's API is strongly inspired by Keras and it has a focus on ...
IEEE

Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time

Abstract: In edge intelligence systems, deep neural network (DNN) partitioning and data offloading can provide real-time task inference for resource-constrained mobile devices. However, the inference ...
GitHub

Taming Diffusion Probabilistic Models for Character Control

📢 2024.04.24 Release the Windows Unity demo (GPU) trained in 100STYLE dataset. 📢 2024.06.23 Release the training code in PyTorch. 📢 2024.07.05 Release the inference code in Unity. 📢 2024.07.05 ...
www.cs.cmu.edu

John Wieting

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 ...