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Storytelling with Visualization — Which Area Has the Highest Socio-Economic Score, and Why | by Jin Cui | Dec, 2023

Once in a while, for more efficient allocation of resources, the Government may collect data from individuals or households about their demographic characteristics, such as age, gender, and country of birth, as well as their socio-economic characteristics, such as income, occupation and spend. Some of these data are then aggregated by geographic regions and made…

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Can Google’s Gemini Rival OpenAI’s GPT-4V in Visual Understanding?: This Paper Explores the Battle of Titans in Multi-modal AI

The development of Multi-modal Large Language Models (MLLMs) represents a groundbreaking shift in the fast-paced field of artificial intelligence. These advanced models, which integrate the robust capabilities of Large Language Models (LLMs) with enhanced sensory inputs such as visual data, are redefining the boundaries of machine learning and AI. The surge of interest in MLLMs,…

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This Paper Explores Efficient Predictive Control with Sparsified Deep Neural Networks

Robotics is currently exploring how to enhance complex control tasks, such as manipulating objects or handling deformable materials. This research niche is crucial as it promises to bridge the gap between current robotic capabilities and the nuanced dexterity found in human actions. A central challenge in this area is developing models that can accurately indicate…

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Illuminating Insights: GPT Extracts Meaning from Charts and Tables | by Ilia Teimouri | Dec, 2023

Using GPT Vision to interpret and aggregate image data. Photo by David Travis on Unsplash.Integrating visual inputs like images alongside text and speech into large language models (LLMs) is considered an important new direction in AI research by many experts in the field. By augmenting these models to handle multiple modes of data beyond just…

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AI in Healthcare Claims Processing: The Complete Guide

In the intricate web of the healthcare ecosystem, claims processing stands as a critical juncture where the efficiency and accuracy of operations profoundly impact patient care, provider satisfaction, and overall system performance. Traditionally, this process has been plagued by manual errors, time-consuming verifications, and a plethora of administrative challenges, prompting the healthcare industry to seek…

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