In a variety of venues, the application of declarative programming practices and principles are starting to expand in ways that solve many long-standing frustrations with making technology work ...

Databricksは近年、データエンジニアリングやAI/ML領域におけるワークフロー自動化をさらに推進するために「Lakeflow」という ...

こんにちは！Webサービスやアプリを作っていると、避けて通れないのが「データベース」の管理。特に、機能を追加したり変更したりするときにデータベースの構造を変える「データベース移行（マイグレーション）」って、なんだか難しそう…と感じる方 ...

Data-driven approaches are becoming increasingly common as problem-solving tools in many areas of science and technology. In most cases, machine learning models are the key component of these ...

This approach simplifies development, improves scalability, and enhances collaboration among teams. In this guide, we will explore the principles and benefits of declarative programming in the cloud, ...

Several models have been proposed to account for the neurocognitive basis of the mental lexicon (a repository of stored words) and the mental grammar (which captures ...

Abstract: We explore a class of end-to-end learnable models wherein data processing nodes (or network layers) are defined in terms of desired behavior rather than an explicit forward function.

Individual differences in phonological processing abilities have often been attributed to perceptual factors, rather than to factors relating to learning and memory. Here, we consider the contribution ...