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Clustering Eating Behaviors in Time: A Machine Learning Approach to Preventive Health

Data ScienceMay 9, 2025102Views0Likes0Comments
It’s well known that what we eat matters — but what if when and how often we eat matters just as much? In the midst of ongoing scientific debate around the benefits of intermittent fasting, this question becomes even more intriguing. As someone passionate about machine learning and healthy living, I was inspired by a 2017 research paper[1] exploring this intersection. The…

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Subject-Driven Image Evaluation Gets Simpler: Google Researchers Introduce REFVNLI to Jointly Score Textual Alignment and Subject Consistency Without Costly APIs

AI NewsMay 4, 2025100Views0Likes0Comments
Text-to-image (T2I) generation has evolved to include subject-driven approaches, which enhance standard T2I models by incorporating reference images alongside text prompts. This advancement allows for more precise subject representation in generated images. Despite the promising applications, subject-driven T2I generation faces a significant challenge of lacking reliable automatic evaluation methods. Current metrics focus either on text-prompt…

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How AI can decipher dolphin communication

OpenAIMay 4, 2025111Views0Likes0Comments
Sharing DolphinGemma with the research community Recognizing the value of collaboration in scientific discovery, we’re planning to share DolphinGemma as an open model this summer. While trained on Atlantic spotted dolphin sounds, we anticipate its potential utility for researchers studying other cetacean species, like bottlenose or spinner dolphins. Fine-tuning may be required for different species'…

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From a Point to L∞

Data ScienceMay 4, 2025113Views0Likes0Comments
Why you should read this  As someone who did a Bachelors in Mathematics I was first introduced to L¹ and L² as a measure of Distance… now it seems to be a measure of error — where have we gone wrong? But jokes aside, there seems to be this misconception that L₁ and L₂ serve the same function — and…

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ViSMaP: Unsupervised Summarization of Hour-Long Videos Using Meta-Prompting and Short-Form Datasets

AI NewsApril 29, 202589Views0Likes0Comments
Video captioning models are typically trained on datasets consisting of short videos, usually under three minutes in length, paired with corresponding captions. While this enables them to describe basic actions like walking or talking, these models struggle with the complexity of long-form videos, such as vlogs, sports events, and movies that can last over an…

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NVIDIA AI Releases HOVER: A Breakthrough AI for Versatile Humanoid Control in Robotics

RoboticsApril 29, 2025130Views0Likes0Comments
The future of robotics has advanced significantly. For many years, there have been expectations of human-like robots that can navigate our environments, perform complex tasks, and work alongside humans. Examples include robots conducting precise surgical procedures, building intricate structures, assisting in disaster response, and cooperating efficiently with humans in various settings such as factories, offices,…

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The Secret Inner Lives of AI Agents: Understanding How Evolving AI Behavior Impacts Business Risks

Data ScienceApril 29, 2025105Views0Likes0Comments
Artificial intelligence (AI) capabilities and autonomy are growing at an accelerated pace in Agentic Ai, escalating an AI alignment problem. These rapid advancements require new methods to ensure that AI agent behavior is aligned with the intent of its human creators and societal norms. However, developers and data scientists first need an understanding of the…

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