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Microsoft and Tsinghua University Researchers Introduce Distilled Decoding: A New Method for Accelerating Image Generation in Autoregressive Models without Quality Loss
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Microsoft and Tsinghua University Researchers Introduce Distilled Decoding: A New Method for Accelerating Image Generation in Autoregressive Models without Quality Loss

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Autoregressive (AR) models have changed the field of image generation, setting new benchmarks in producing high-quality visuals. These models break […]

I keep turning my Google Sheets into phone-friendly webapps, and I can’t stop
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I keep turning my Google Sheets into phone-friendly webapps, and I can’t stop

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Software is eating the world and I have snacks for it How I tackled takeout, spices, and meal ideas with […]

2024: The year AI drove everyone crazy
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2024: The year AI drove everyone crazy

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What do eating rocks, rat genitals, and Willy Wonka have in common? AI, of course. It’s been a wild year […]

Tsinghua University Researchers Just Open-Sourced CogAgent-9B-20241220: The Latest Version of CogAgent
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Tsinghua University Researchers Just Open-Sourced CogAgent-9B-20241220: The Latest Version of CogAgent

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Graphical User Interfaces (GUIs) are central to how users engage with software. However, building intelligent agents capable of effectively navigating […]

This Machine Learning Research from Amazon Introduces a New Open-Source High-Fidelity Dataset for Automotive Aerodynamics
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This Machine Learning Research from Amazon Introduces a New Open-Source High-Fidelity Dataset for Automotive Aerodynamics

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One of the most critical challenges in computational fluid dynamics (CFD) and machine learning (ML) is that high-resolution, 3D datasets […]

Meet ONI: A Distributed Architecture for Simultaneous Reinforcement Learning Policy and Intrinsic Reward Learning with LLM Feedback
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Meet ONI: A Distributed Architecture for Simultaneous Reinforcement Learning Policy and Intrinsic Reward Learning with LLM Feedback

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Reward functions play a crucial role in reinforcement learning (RL) systems, but their design presents significant challenges in balancing task […]

Meet CoMERA: An Advanced Tensor Compression Framework Redefining AI Model Training with Speed and Precision
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Meet CoMERA: An Advanced Tensor Compression Framework Redefining AI Model Training with Speed and Precision

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Training large-scale AI models such as transformers and language models have become an indispensable yet highly demanding process in AI. […]

CoordTok: A Scalable Video Tokenizer that Learns a Mapping from Co-ordinate-based Representations to the Corresponding Patches of Input Videos
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CoordTok: A Scalable Video Tokenizer that Learns a Mapping from Co-ordinate-based Representations to the Corresponding Patches of Input Videos

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Breaking down videos into smaller, meaningful parts for vision models remains challenging, particularly for long videos. Vision models rely on […]

Deep Learning and Vocal Fold Analysis: The Role of the GIRAFE Dataset
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Deep Learning and Vocal Fold Analysis: The Role of the GIRAFE Dataset

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Semantic segmentation of the glottal area from high-speed videoendoscopic (HSV) sequences presents a critical challenge in laryngeal imaging. The field […]

CLDG: A Simple Machine Learning Framework that Sets New Benchmarks in Unsupervised Learning on Dynamic Graphs
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CLDG: A Simple Machine Learning Framework that Sets New Benchmarks in Unsupervised Learning on Dynamic Graphs

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Graph Neural Networks have emerged as a transformative force in many real-life applications, from corporate finance risk management to local […]

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