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This paper provides a comprehensive analysis of automatic database management system (DBMS) tuning. 

Smarter Systems, Less Hassle: Inside DBMS Auto-Tuning

Few-shot classification involves training a model to perform a new classification task with a handful of labeled data. 

Transductive Learning for Textual Few-Shot: Limitations, Acknowledgements, & References

Transductive Learning for Textual Few-Shot Classification: An Enhanced Experimental Setting

This section delves into the field of FL, a method created to produce accurate models while protecting the privacy of people and institutions.

Collaborative and Privacy-Preserving Model Training: The Pros and Cons

Ultralearning is a strategy for aggressive, self-directed learning. It's a strategy—meaning a choice about how to pursue learning to get results

How a Book Rewrote the Script of My Life

Deep Learning<strong> </strong>has become the main driver of many new applications and it’s time to really look at why this is the case. With so many other options that we’ve been using for so long, why Deep Learning?

Introduction to Deep Learning

Learn why GenAI models fail with new information, the 'One-Shot Generalization Paradox,' and what future AI research holds for overcoming this challenge.

The One-Shot Generalization Paradox: Why Generative AI Struggles With New Information

Olaf Witkowski is the Chief Scientist at Cross Labs, which aims to bridge the divide between intelligence science and AI technology. A researcher of artificial life, Witkowski started in artificial intelligence by exploring the replication of human speech through machines. He founded Commentag in 2007, and in 2009 moved to Japan to continue research, where he first became interested in artificial life.

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