Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Abstract: Traditional recommendation algorithms, such as collaborative filtering and content filtering, have limitations in the face of big data, diversity of user behavior and complexity of product ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

High‑NA EUV's reduced field size is driving new innovation in optical proximity correction and mask synthesis.

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

Abstract: To address the inadequate dimensional inspection accuracy caused by noise interference and edge blurring during cabin image acquisition, this paper proposes a dimensional inspection ...

Psychiatry stands at a pivotal turning point shaped by rapid technological advances and pressing clinical demands (1). Mental health disorders, defined by multifaceted etiologies and heterogeneous ...