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Meet the Fellow: Berfin ?im?ek

NYU Center for Data Science

Prior to joining CDS, Berfin interned at Meta AI where she worked on large-scale experiments. In winter 2023, Berfin attended the Theoretical Physics for Machine Learning Conference in Aspen Center for Physics. In winter 2023, Berfin attended the Theoretical Physics for Machine Learning Conference in Aspen Center for Physics.

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When Should AI Step Aside? Understanding Cultural Values in AI Systems

NYU Center for Data Science

CDS Faculty Fellow Umang Bhatt l eading a practical workshop on Responsible AI at Deep Learning Indaba 2023 in Accra In Uganda’s banking sector, AI models used for credit scoring systematically disadvantage citizens by relying on traditional Western financial metrics that don’t reflect local economic realities.

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Spatial Intelligence: Why GIS Practitioners Should Embrace Machine Learning- How to Get Started.

Towards AI

Author(s): Stephen Chege-Tierra Insights Originally published on Towards AI. You just want to create and analyze simple maps not to learn algebra all over again. This function can be improved by AI and ML, which allow GIS to produce insights, automate procedures, and learn from data.

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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Deep Learning. Deep learning is a subset of machine learning that works similar to the biological brain. Use deep learning when the number of variables (columns) is high.

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How Infosys improved accessibility for Event Knowledge using Amazon Nova Pro, Amazon Bedrock and Amazon Elemental Media Services

AWS Machine Learning Blog

Infosys , a leading global IT services and consulting organization, used its digital expertise to tackle this challenge by pioneering, Infosys Event AI, an innovative AI-based event assistant. The following screenshot shows a brief demo based on a fictitious scenario to illustrate Event AIs real-time streaming capability.

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Machine Learning and Language (ML²) at CDS: Moving NLP Forward

NYU Center for Data Science

This collaborative atmosphere, combined with individual lab meetings and the broader ML² seminars, fostered a culture of continuous learning and knowledge sharing. Linzen, for example, is interested in how human language works, which will never be solved simply by developing ever-more-sophisticated AI models.

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What are some ethical considerations when using Generative AI

Dataconomy

As generative AI becomes increasingly integrated into various industries, it is essential to consider the ethical implications of its use. What are some ethical considerations when using generative AI? Addressing these issues is crucial for ensuring that generative AI serves as a beneficial and responsible tool in our society.

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