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This Paper Introduces Ponymation: A Novel Artificial Intelligence Technique for Learning a Generative Model of Articulated 3D Animal Motions from Unlabeled, Raw Online Videos

Let us dive into the captivating world of 3D animation and modeling! This multi-faceted area, which encompasses creating lifelike three-dimensional representations of objects and living beings, has long been a source of fascination for scientific and artistic communities. It is a crucial component of advancements in computer vision and mixed reality applications, and provides unique…

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Nvidia AI Researchers Introduce ‘Align Your Gaussians’ Method for Generating Expressive Text-to-4D Synthesis

Be excited! The researchers of Nvidia AI, Vector Institute, University of Toronto, and MIT have recently unveiled an innovative approach for text-to-4D synthesis, called Align Your Gaussians (AYG)! This technology has the potential to revolutionize the way we develop games, movies, simulations, animations, and virtual environments. Utilizing dynamic 3D Gaussian Splatting with deformation fields, AYG…

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Introducing InternVL: A 6 Billion Parameter Vision-Language Foundation Mode Aimed at Bridging the Gap in Multi-Modal AGI

The AI field has been abuzz with excitement as of late, thanks to a groundbreaking model proposed by researchers from Nanjing University, OpenGVLab, Shanghai AI Laboratory, The University of HongKong, The Chinese University of Hong Kong, Tsinghua University, University of Science and Technology of China, SenseTime Research. Dubbed InternVL, this revolutionary model is designed to…

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Introducing PostgresML: An Open-Source Python Library Combining PostgreSQL with Machine Learning to Enable Training and Deployment of ML Models with SQL Queries

AI engineers working in the field of machine learning can now rejoice! With PostgresML, an open-source Python library that integrates with PostgreSQL, they can easily train and deploy ML models directly within the database using SQL queries. This eliminates the need for complex infrastructures and intricate setups and microservices that are often associated with machine…

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Bytedance Launches DiffPortrait3D: A Revolutionary Zero-Shot View Synthesis AI Technique that Expands 2D Stable Diffusion to Generate 3d Consistent Novel Views With Only a Single Portrait.

The Artificial Intelligence (AI) community is abuzz with excitement over the recent emergence of Large Language Models (LLMs)! These powerful models have demonstrated remarkable applications across a variety of industries, from Natural Language Processing and Natural Language Generation to Computer Vision and beyond. However, despite the considerable advances in computer vision and diffusion models, the…

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MIT and Meta Researchers Unveil PlatoNeRF: A Revolutionary AI Model for Single-View 3D Reconstruction Using Lidar and Neural Radiance Fields

We are absolutely thrilled to present to you the groundbreaking work of the researchers from the Massachusetts Institute of Technology (MIT), Meta, and Codec Avatars Lab! Their novel approach, PlatoNeRF, has addressed the challenging task of single-view 3D reconstruction from a neural radiance field (NeRF) perspective, leveraging two-bounce light measured by lidar and employing lidar…

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Microsoft and Georgia Tech Researchers Introduce VCoder: Versatile Vision Encoders for Multimodal Large Language Models

Behold the power of Artificial Intelligence and Machine Learning! Researchers from Microsoft Research, PicsArt AI Research, and Georgia Tech have developed a powerful new technique called Versatile vision enCoders (VCoder) that significantly enhances Multimodal Large Language Models' (MLLMs) ability to comprehend complex visual scenes. VCoder achieves this by introducing additional vision encoders that project information…

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National University of Singapore Researchers Create a Groundbreaking RMIA Method for Improving Privacy Risk Assessment in Machine Learning

Privacy in machine learning models has become a critical concern due to the emergence of Membership Inference Attacks (MIA). MIA attempts to reveal whether specific data points were part of a given model’s training data. Understanding this type of attack is pivotal as it assesses the unintentional exposure of information when models are trained on…

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Exploring Optimization Techniques to Bridge Quantization Cliffs in Large-Scale Machine Learning Models by Cohere AI Researchers

The ascent of large language models (LLMs) in artificial intelligence has revolutionized natural language processing. However, deploying these colossal models presents a unique set of challenges, with post-training quantization (PTQ) emerging as a critical factor affecting their performance. Quantization, the process of reducing model weights and activations to lower bit precision, is a crucial step…

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Lawmakers express worries about the impact of RAND on the organization for AI safety

President Biden's executive order in October, which tasked the National Institute of Standards and Technology (NIST) with researching how to test and analyze AI model safety, is inspiring enthusiasm and anticipation! The RAND Corporation's influence on the NIST is coming under scrutiny, and the US Congress Committee on Science, Space, and Technology has voiced its…

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