Based on the literature synthesis and system mapping presented in Section 2.4, a set of design requirements (DRs) was derived ...

Quickly build apps with Google AI Studio, Firebase Auth email sign-in, and Firestore roles, so your team handles orders and ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...

A significant portion of the exhibition is dedicated to ZHA's research collaborations with global leaders in AI computing. Through machine learning and data-driven digital technologies, the practice ...

Tata Technologies is implementing a domain-led strategy to drive growth amid the evolving landscape of artificial intelligence. This approach emphasizes leveraging domain knowledge to differentiate ...

What is this book about? Developers across the world are rapidly adopting DDD principles to deliver powerful results when writing software that deals with complex business requirements. This book will ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products.

Abstract: Domain shift can cause the detector to fail in adapting to the test data, resulting in sharp decline in detection performance. To address this issue, many unsupervised domain adaptation ...