On February 9, 2026, Google Research presented an approach that selects features or layers during training to seek leaner, faster models without sacrificing accuracy.
Published on February 9, 2026, the Google Research announcement presents Sequential Attention. The approach greedily selects important features or layers during training; according to the linked paper, its goal is to make AI models leaner and faster without sacrificing accuracy.
Engineers studying model efficiency can consult the announcement and original paper to check the method and evidence presented. The available description gives no quantitative results. If you use AI to study or apply the material, avoid including confidential data and verify conclusions against the original sources.