Car infotainment systems have historically been a weak point in vehicle design. Often clunky and inefficient, essential features and functions were buried under layers of unnecessary screens and ...

VANCOUVER, British Columbia--(BUSINESS WIRE)--Variational AI, the company behind Enki™, an advanced foundation model for small molecule drug discovery, today ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

Introduction 论文的 introduction 部分我们略过，直接看 method 部分。 2. Method 本节中的策略可用于为具有连续潜在变量(隐变量 ...

ABSTRACT: Current high-dimensional feature screening methods still face significant challenges in handling mixed linear and nonlinear relationships, controlling redundant information, and improving ...

This paper dives into the exciting and rapidly growing field of quantum computing, explaining its core ideas, current progress, and how it could revolutionize the way we solve complex problems. It ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The two terms in this objective formulation achieve dual ...

In a paper published in the journal Intelligent Computing, researchers demonstrated methods for efficiently encoding image data into quantum states using variational, genetic, and matrix product state ...

The field of quantum machine learning, which aims to leverage quantum computing to improve upon classical machine learning, has made notable progress recently. A study published in Intelligent ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...