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Solving Autocorrelation Problems in General Linear Model on a Real-World Application | by Rodrigo da Motta | Dec, 2023

Data ScienceDecember 13, 2023130Views 0Likes 0Comments

Delving into one of the most common nightmares for data scientists Introduction One of the biggest problems in linear regression is autocorrelated residuals. In this context, this article revisits linear regression, delves into the Cochrane–Orcutt procedure as a way to solve this problem, and explores a real-world application in fMRI brain activation analysis. Photo by…

How AI Is Empowering Precision Artistry in Laser Engraving

IoTDecember 13, 2023170Views 0Likes 0Comments

Laser engraving is an essential part of numerous industries, ranging from aerospace manufacturing to medical devices. Companies often rely on this marking method to add serial numbers, barcodes or other tracking details. Those details make it easier to trace a product throughout its life span, confirming whether it lasts as long as expected. Laser…

Lead Prioritization Guide for Sales Teams

NanonetsDecember 13, 2023144Views 0Likes 0Comments

In the fast-paced world of sales and marketing, understanding and managing leads is like finding and nurturing hidden treasures. Every lead is a potential customer, but not all leads are created equal. Some are ready to make a decision, while others need more time or information. This is where Lead Prioritization comes into play.…

Evolution in ETL: How Skipping Transformation Enhances Data Management

Data AnalyticsDecember 13, 2023130Views 0Likes 0Comments

Image by Editor Few data concepts are more polarizing than ETL (extract-transform-load), the preparation technique that has dominated enterprise operations for several decades. Developed in the 1970s, ETL shined during an era of large-scale data warehouses and repositories. Enterprise data teams centralized data, layered reporting systems and data science models on top, and…

This AI Paper Unveils HyperDreamer: An Advancement in 3D Content Creation with Advanced Texturing, 360-Degree Modeling, and Interactive Editing

AI NewsDecember 13, 2023125Views 0Likes 0Comments

It isn’t easy to generate detailed and realistic 3D models from a single RGB image. Researchers from Shanghai AI Laboratory, The Chinese University of Hong Kong, Shanghai Jiao Tong University, and S-Lab NTU have presented HyperDreamer to address this issue. This framework solves this problem by enabling the creation of 3D content that is viewable,…

Understanding the faulty proteins linked to cancer and autism

OpenAIDecember 13, 2023132Views 0Likes 0Comments

AlphaFold is helping researchers uncover how protein-mutations cause disease, and how to prevent them Luigi Vitagliano is a Research Director at the Institute of Biostructures and Bioimaging in Naples, Italy. He shares his AlphaFold story. Being a structural biologist in the age of AlphaFold is like the early days of gold mining. Before this technology,…

Evaluating RAG Applications with RAGAs | by Leonie Monigatti | Dec, 2023

Data ScienceDecember 13, 2023153Views 0Likes 0Comments

RAGAs (Retrieval-Augmented Generation Assessment) is a framework (GitHub, Docs) that provides you with the necessary ingredients to help you evaluate your RAG pipeline on a component level. Evaluation Data What’s interesting about RAGAs is that it started out as a framework for “reference-free” evaluation [1]. That means, instead of having to rely on human-annotated ground…

Leveraging Technology for Positive Change Aiiot Talk

IoTDecember 13, 2023164Views 0Likes 0Comments

AI and tech enthusiasts from all niches desire to leverage automation to make their operations more sustainable. Green AI revises the technology’s negative climate impact. It’s a costly and environmentally concerning asset, but these algorithms will transform all sectors’ relationships with AI and the planet. Meeting sustainability objectives becomes streamlined and actionable using…

5 Tools to Help Build Your LLM Apps

Data AnalyticsDecember 13, 2023125Views 0Likes 0Comments

Image generated with DALLE-3 In the era of advanced language model applications, developers and data scientists are continuously seeking efficient tools to build, deploy, and manage their projects. As large language models (LLMs) like GPT-4 gain popularity, more people are looking to leverage these powerful models in their own applications. However, working with…