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Supporting the next generation of AI leaders

OpenAIFebruary 22, 2025114Views 0Likes 0Comments

We’re partnering with six education charities and social enterprises in the United Kingdom (UK) to co-create a bespoke education programme to help tackle the gaps in STEM education and boost existing programmes through funding, volunteering, and the development of new AI resources. Access to STEM education remains a challenge for many young people in the…

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

Data ScienceFebruary 22, 2025126Views 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

IoTFebruary 22, 2025162Views 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

NanonetsFebruary 22, 2025144Views 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 AnalyticsFebruary 22, 2025127Views 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 NewsFebruary 22, 2025119Views 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

OpenAIFebruary 22, 2025122Views 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 ScienceFebruary 22, 2025145Views 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

IoTFebruary 22, 2025165Views 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…