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Articles from The Gradient magazine covering research and trends in artificial intelligence and machine learning.
A Brief Overview of Gender Bias in AI
A small selection of important work done (and currently being done) to uncover, evaluate, and measure different aspects of gender bias in AI models
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Yennie Jun
Mamba Explained
Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used…
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Kola 🔑
5
Car-GPT: Could LLMs finally make self-driving cars happen?
Exploring the utility of large language models in autonomous driving: Can they be trusted for self-driving cars, and what are the key challenges?
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The Gradient
1
Do text embeddings perfectly encode text?
'Vec2text' can serve as a solution for accurately reverting embeddings back into text, thus highlighting the urgent need for revisiting security…
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Jack Morris
Why Doesn’t My Model Work?
On some of the issues that can cause a model to seem good when it isn’t, and ways in which these kinds of mistakes can be prevented
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Michael Lones
Deep learning for single-cell sequencing: a microscope to see the diversity of cells
On how Deep Learning has played as a key enabler for advancing single-cell sequencing technologies.
Salmon in the Loop
On fish counting – a complex sociotechnical problem in a field that is going through the process of digital transformation.
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The Gradient
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