Researchers developed a system that converts AI explanations into narrative text that can be more easily understood by users. This system could help people determine when to trust a model's ...

Two of the most important fields in AI development are “machine learning” and its sub-field, “deep learning,” although the terms are sometimes used interchangeably, leading to a certain ...

The insights shared by Rastogi and Somareddy reflect Amazon's unwavering commitment to leveraging AI and ML to revolutionize ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

There are two major machine learning approaches: supervised and unsupervised. Supervised learning uses labelled data for tasks like classification, while unsupe ...

Google’s machine learning course is an easy to understand ... Reveal three key problems with large language models. Explain how fine-tuning and distillation can improve a model’s predictions ...

Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.

The great race is on. It isn’t the one on television, but it is one that has put the world’s wealthiest companies in fierce ...

But when researchers used a machine learning algorithm to predict the ... were more strongly explained by changes in microbial load," says Peer Bork of the European Molecular Biology Laboratory ...