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This AI Research from China Introduces ‘City-on-Web’: An AI System that Enables Real-Time Neural Rendering of Large-Scale Scenes over Web Using Laptop GPUs

The conventional NeRF and its variations demand considerable computational resources, often surpassing the typical availability in constrained settings. Additionally, client devices’ limited video memory capacity imposes significant constraints on processing and rendering extensive assets concurrently in real-time. The considerable demand for resources poses a crucial challenge in rendering expansive scenes in real-time, requiring rapid loading…

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An empirical analysis of compute-optimal large language model training

In the last few years, a focus in language modelling has been on improving performance through increasing the number of parameters in transformer-based models. This approach has led to impressive results and state-of-the-art performance across many natural language processing tasks. We also pursued this line of research at DeepMind and recently showcased Gopher, a 280-billion…

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Meet Unified-IO 2: An Autoregressive Multimodal AI Model that is Capable of Understanding and Generating Image, Text, Audio, and Action

Integrating multimodal data such as text, images, audio, and video is a burgeoning field in AI, propelling advancements far beyond traditional single-mode models. Traditional AI has thrived in unimodal contexts, yet the complexity of real-world data often intertwines these modes, presenting a substantial challenge. This complexity demands a model capable of processing and seamlessly integrating…

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DeepMind’s latest research at ICLR 2022

Working toward greater generalisability in artificial intelligence Today, conference season is kicking off with The Tenth International Conference on Learning Representations (ICLR 2022), running virtually from 25-29 April, 2022. Participants from around the world are gathering to share their cutting-edge work in representational learning, from advancing the state of the art in artificial intelligence to…

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The Guide to Invoice Audit in 2024

According to a 2020 report on the study on Occupational Fraud and Abuse by the Association of Certified Fraud Examiners (ACFE), the amount of money lost to occupational fraud each year represents a staggering drain on the global economy, and it directly impacts organizations’ abilities to create jobs, produce goods and services, and provide public…

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This Paper Introduces InsActor: Revolutionizing Animation with Diffusion-Based Human Motion Models for Intuitive Control and High-Level Instructions

Physics-based character animation, a field at the intersection of computer graphics and physics, aims to create lifelike, responsive character movements. This domain has long been a bedrock of digital animation, seeking to replicate the complexities of real-world motion in a virtual environment. The challenge lies in the technical aspects of animation and in capturing the…

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