Princeton University

Meet GPS-Gaussian: A New Artificial Intelligence Approach for Synthesizing Novel Views of a Character in a Real-Time Manner

AI Shorts
An essential function of multi-view camera systems is novel view synthesis (NVS), which attempts to generate photorealistic images from new perspectives using source photos. The subfields of human NVS have the potential to significantly contribute to...

Enhancing Data Security and Collaboration: AWS Clean Rooms Introduces Machine Learning and Differential Privacy Features

AI Shorts
Amazon Web Services (AWS) has introduced a new update to its secure data-sharing service, Clean Rooms, enhancing its capabilities with cutting-edge machine learning (ML) and differential privacy features. These advancements empower enterprises to collaborate securely, harness...

Researchers From Princeton And Max Planck Developed A Reinforcement Learning–Based Simulation That Shows The Human Desire Always To Want More May Have Evolved As...

AI Paper Summary
Through the means of a computational framework of reinforcement learning, researchers from Princeton University have tried to find the relationship between happiness with habituation...

Princeton University Researchers Introduce ‘DataMUX’: A Technique That Enables Deep Neural Networks to Process Multiple Inputs Simultaneously Using a Single Compact Representation

AI Paper Summary
A Princeton University research team proposed Data Multiplexing for Neural Networks in their new study DataMUX: Data Multiplexing for Neural Networks (DataMUX). This new...

AI Research Team From Princeton, Berkeley and ETH Zurich Introduce ‘RLQP’ To Accelerate Quadratic Optimization With Deep Reinforcement Learning (RL)

AI Paper Summary
Quadratic programming (QPs) is widely used in various fields, including finance, robotics, operations research, and many others, for large-scale machine learning and embedded optimal...

Researchers From Microsoft and Princeton University Find Text-Based Agents can Achieve High Scores Even in The Complete Absence of Semantics

AI Paper Summary
Recently, Text-based games have become a popular testing method for developing and testing reinforcement learning (RL). It aims to build autonomous agents that can...

Princeton Student Researcher Proposes Sketch-And-Paint GAN (SAPGAN): A GAN Framework For Chinese Landscape Painting Generation

AI Paper Summary
The emergence and constant refining of Generative Adversarial Networks (GANs) have generated impressive artworks in various styles through AI. A Princeton undergrad student, Alice Xue, has...

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