A practical comparison of gradient descent algorithms to predict student performance using study and lifestyle data, with visual analysis.

2025年4月，国际学习表征会议（ICLR）再次成为深度学习领域的焦点。此次会议上，宣布了重磅的时间检验奖（Test of Time Award），由Jimmy Ba与Diederik P. Kingma共同提出的Adam优化器荣获冠军，而Yoshua Bengio的团队则因其引入的注意力机制获得亚军。这一殊荣不仅展示了这两项技术过去十年的影响力，更透露出深度学习研究领域发展的趋势与未来潜力。通过 ...

One of the biggest mistakes in AI adoption is automating a broken or inefficient process. AI doesn’t fix inefficiencies—it ...

Stochastic modelling is the development of mathematical models for non-deterministic physical systems, which can adopt many possible behaviours starting from any given initial condition. Monte ...

由Yoshua Bengio带队这篇论文，首次引入了注意力机制（Attention Mechanism），为现代深度学习架构奠定了基础。 Bengio团队的突破在于，让模型能够「动态关注」输入序列相关部分，极大地提升了翻译任务的性能。

This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Quantum walks are changing the way scientists think about computation. They use the strange and powerful rules of quantum ...

Algorithms are rewriting the codes of contemporary aesthetics: they favor what’s viral and shareable, generating images ...

In the digital era, Srinivasa Sunil Chippada, a technical expert, explores cutting-edge architectural patterns in machine learning infrastructure designed to handle petabyte-scale data processing. His ...

Online Learning and Online Convex Optimization is a modern overview of online learning. Its aim is to provide the reader with a sense of some of the interesting ideas and in particular to underscore ...