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Rethinking Reproducibility As the New Frontier in AI Research

Unite.AI

Reproducibility, integral to reliable research, ensures consistent outcomes through experiment replication. In the domain of Artificial Intelligence (AI) , where algorithms and models play a significant role, reproducibility becomes paramount. Multiple factors contribute to the reproducibility crisis in AI research.

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This AI Paper Introduces Quilt-1M: Harnessing YouTube to Create the Largest Vision-Language Histopathology Dataset

Marktechpost

The research team used a combination of models, algorithms, and human knowledge databases to curate this dataset. They also expanded QUILT by adding data from other sources, including Twitter, research papers, and PubMed. All Credit For This Research Goes To the Researchers on This Project.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

Achieving these feats is accomplished through a combination of sophisticated algorithms, natural language processing (NLP) and computer science principles. However, if AGI development uses similar building blocks as narrow AI, some existing tools and technologies will likely be crucial for adoption.

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AI News Weekly - Issue #334: ChatGPT OpenAI might consider leaving Europe if it cannot comply with the upcoming AI regulations proposed by the European Union - May 25th 2023

AI Weekly

analyticsindiamag.com Research Diversity and Inclusion in Artificial Intelligence In this chapter, we present a clear definition of diversity and inclusion in AI, one which positions this concept within an evolving and holistic ecosystem. arxiv.org Academic integrity and AI: is ChatGPT hype, hero or heresy?

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How Should We View Biased Clinical Data in Medical Machine Learning? A Call for an Archaeological Perspective

Marktechpost

In the paper titled “ Considering Biased Data as Informative Artifacts in AI-Assisted Health Care ,” three researchers argue that we should see biased medical data as valuable artifacts in archaeology or anthropology. All Credit For This Research Goes To the Researchers on This Project.

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Snorkel AI researchers present 18 papers at NeurIPS 2023

Snorkel AI

Benchmarks, domain-specific datasets, and models Benchmarking drives progress in AI research. Computer scientists and legal experts came together to assemble 162 evaluation tasks. Additionally, the researchers share a simple counterfactual fairness correction algorithm.

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This AI newsletter is all you need #34

Towards AI

Announcing the launch of the Medical AI Research Center (MedARC) Medical AI Research Center (MedARC) announced a new open and collaborative research center dedicated to advancing the field of AI in healthcare. Scientists from MIT, Google Research, and Stanford University are working to unravel this mystery.