Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Hence, this study proposes a machine learning-based framework for successfully classifying structural components in indoor environments. The proposed framework consists of four stages: pre-processing, ...

However, deploying CNN models onto these computational image sensors faces challenges from the limited on-chip memory resources and insufficient image processing throughput. This work proposes a ...

Delve into the implications of AI in architecture: a tool that redefines creativity while risking the depth and intent behind design.

A range of generative machine learning models for the design of novel molecules and materials have been proposed in recent years. Models that can generate three-dimensional structures are particularly ...