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The Power of Next-Frame Prediction for Learning Physical Laws
29 May

The Power of Next-Frame Prediction for Learning Physical Laws

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arXiv:2405.17450v1 Announce Type: new Abstract: Next-frame prediction is a useful and powerful method for modelling and understanding the dynamics of video data. Inspired by the empirical success of causal language modelling and next-token prediction in language modelling, we explore the extent to which next-frame prediction serves as a strong foundational learning strategy (analogous to language modelling) for inducing an understanding of the visual world. In order to quantify the specific visual understanding induced by next-frame prediction, we introduce six diagnostic simulation video datasets derived from fundamental physical laws created by varying physical constants such as gravity and mass. We demonstrate…
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HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs
29 May

HEART-felt Narratives: Tracing Empathy and Narrative Style in Personal Stories with LLMs

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arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Source link lol
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GenAI-Generated News: Less Accurate, Timelier, Survey Finds
29 May

GenAI-Generated News: Less Accurate, Timelier, Survey Finds

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(iQoncept/Shutterstock) People are less likely to believe news written by generative AI, according to a recent public opinion survey conducted by Reuters, but the news would be timelier and cost less for the publisher to produce. The online survey also found GenAI tools are not being as widely adopted by consumers as some people may think. The Reuters Institute for the Study of Journalism (RISJ) at the University of Oxford contracted with YouGov to answer questions in two main areas: Determine how people are adopting GenAI broadly, and gauge their feelings towards GenAI-generated journalism specifically. The survey was conducted online…
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From Data to Destinations: How Skyscanner Optimizes Traveler Experiences with Databricks Unity Catalog
29 May

From Data to Destinations: How Skyscanner Optimizes Traveler Experiences with Databricks Unity Catalog

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This blog is authored by Michael Ewins, Director of Engineering at Skyscanner At Skyscanner, we're more than just a flight search engine. We are a global leader in travel in serving more than 110 million users each month to plan and book their trips with confidence and ease. Operating in over 30 languages, our platform connects travelers with a wide range of flights, hotels, and car rental options from over 1,200 travel partners across 180 countries.  We use data and AI to enhance the traveler experience as well as support internal decision-making. For our travelers, we use machine learning (ML) models to…
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Green AI in Action: Strategic Model Selection for Ensembles in Production
29 May

Green AI in Action: Strategic Model Selection for Ensembles in Production

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arXiv:2405.17451v1 Announce Type: new Abstract: Integrating Artificial Intelligence (AI) into software systems has significantly enhanced their capabilities while escalating energy demands. Ensemble learning, combining predictions from multiple models to form a single prediction, intensifies this problem due to cumulative energy consumption. This paper presents a novel approach to model selection that addresses the challenge of balancing the accuracy of AI models with their energy consumption in a live AI ensemble system. We explore how reducing the number of models or improving the efficiency of model usage within an ensemble during inference can reduce energy demands without substantially sacrificing accuracy. This…
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Image Based Character Recognition, Documentation System To Decode Inscription From Temple
29 May

Image Based Character Recognition, Documentation System To Decode Inscription From Temple

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arXiv:2405.17449v1 Announce Type: new Abstract: This project undertakes the training and analysis of optical character recognition OCR methods applied to 10th century ancient Tamil inscriptions discovered on the walls of the Brihadeeswarar Temple.The chosen OCR methods include Tesseract,a widely used OCR engine,using modern ICR techniques to pre process the raw data and a box editing software to finetune our model.The analysis with Tesseract aims to evaluate their effectiveness in accurately deciphering the nuances of the ancient Tamil characters.The performance of our model for the dataset are determined by their accuracy rate where the evaluated dataset divided into training set and…
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Explainable machine learning multi-label classification of Spanish legal judgements
29 May

Explainable machine learning multi-label classification of Spanish legal judgements

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[Submitted on 27 May 2024] View a PDF of the paper titled Explainable machine learning multi-label classification of Spanish legal judgements, by Francisco de Arriba-P'erez and 3 other authors View PDF HTML (experimental) Abstract:Artificial Intelligence techniques such as Machine Learning (ML) have not been exploited to their maximum potential in the legal domain. This has been partially due to the insufficient explanations they provided about their decisions. Automatic expert systems with explanatory capabilities can be specially useful when legal practitioners search jurisprudence to gather contextual knowledge for their cases. Therefore, we propose a hybrid system that applies ML for multi-label…
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How Open Will Snowflake Go at Data Cloud Summit?
29 May

How Open Will Snowflake Go at Data Cloud Summit?

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Snowflake is holding its Data Cloud Summit 24 conference next week, and the company is expected to make a slew of announcements, which you will be able to find on these Datanami pages. But among the most closely watched questions is how far Snowflake will go in embracing the Apache Iceberg table format and opening itself up to outside query engines? And is it possible that Snowflake may try to “out open” its rival Databricks, whose conference is the following week? Snowflake has evolved considerably since it burst onto the scene a handful of years ago as a cloud data…
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On margin-based generalization prediction in deep neural networks
29 May

On margin-based generalization prediction in deep neural networks

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[Submitted on 20 May 2024] View a PDF of the paper titled On margin-based generalization prediction in deep neural networks, by Coenraad Mouton View PDF Abstract:Understanding generalization in deep neural networks is an active area of research. A promising avenue of exploration has been that of margin measurements: the shortest distance to the decision boundary for a given sample or that sample's representation internal to the network. Margin-based complexity measures have been shown to be correlated with the generalization ability of deep neural networks in some circumstances but not others. The reasons behind the success or failure of these metrics…
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