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AI Paper Summary

ETH Zurich AI Researchers Introduce ‘tntorch’: a PyTorch-Powered Tensor Learning Python...

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Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor...

Meta AI and the University of Texas at Austin Researchers Open-Source...

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Acoustics significantly influence how we perceive moments. As society transitions to mixed and virtual realities, ongoing research is being done to produce high-quality sound...

Google AI Researchers Propose the Pathways Autoregressive Text-to-Image (Parti) Model, Which...

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Human brains can develop complex scenarios based on descriptions, be it verbal or written. Replicating this to produce visuals based on such descriptions can...

Stanford AI ResearchersĀ Open-SourceĀ Diffusion-LM: A Novel And Controllable Language Model Based on...

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Language Models often behave in an unprecedented manner. Furthermore, natural language generation continues to face significant difficulties in controlling the behavior of language models...

NTU Researchers Propose ‘AvatarCLIP’: A Novel Zero-Shot Text-Driven 3D Avatar Generation...

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The creation of 3D digital avatars is crucial for several industries, ranging from movies to videogames. However, the whole production process is often affordable...

In a Latest ML Paper, OpenAI Researchers Explain How Large-Scale Language...

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It has been shown that bootstrapping human expertise and learning from massive datasets may provide excellent results in automated code creation for Large-scale language...

A New Technique to Train Diffusion Model in Latent Space Using...

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In recent years, image synthesis has experienced exponential growth in performance. The two main approaches to this task have been autoregressive transformers (ARs) and...

Stanford and MIT CSAIL Researchers Propose ‘RoboCraft’: A Novel Framework That...

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To perform difficult industrial and domestic tasks, robots must be able to model and manipulate elastoplastic items (e.g., stuffing dumplings, rolling sushi, and making...

OpenAI Introduces Video PreTraining (VPT), A Novel Semi-Supervised Imitation Learning Technique

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There is a tonne of freely accessible videos on the internet that one can use to learn. However, these videos, such as videos of...

Researchers Introduce A Machine Learning-Based Algorithm For Efficiently Approximating Matrix Multiplies

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One of the most important and computationally demanding processes in machine learning is matrix multiplication. As a result, much research has been done on...