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Steal the code (ethically) and get better at ML/AI research

Analytics Vidhya

The post Steal the code (ethically) and get better at ML/AI research appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Okay! I know that stealing is a crime and we should.

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AI News Weekly - Issue #408: Google's Nobel prize winners stir debate over AI research - Oct 10th 2024

AI Weekly

Join the AI conversation and transform your advertising strategy with AI weekly sponsorship aiweekly.co reuters.com Sponsor Personalize your newsletter about AI Choose only the topics you care about, get the latest insights vetted from the top experts online! Department of Justice. You can also subscribe via email.

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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

In particular, the instances of irreproducible findings, such as in a review of 62 studies diagnosing COVID-19 with AI , emphasize the necessity to reevaluate practices and highlight the significance of transparency. Multiple factors contribute to the reproducibility crisis in AI research.

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Building Generative AI and ML solutions faster with AI apps from AWS partners using Amazon SageMaker

AWS Machine Learning Blog

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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Establishing an AI/ML center of excellence

AWS Machine Learning Blog

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

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Salesforce AI Research Unveils APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets

Marktechpost

Researchers from Salesforce AI Research propose APIGen, an automated pipeline designed to generate diverse and verifiable function-calling datasets. In conclusion, the researchers present APIGen, a novel framework for generating high-quality and diverse function-calling datasets, addressing a critical challenge in AI research.

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5 of the Most Influential Machine Learning Papers of 2024

Flipboard

Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide.