A hybrid AI model that reasons about park spaces as interconnected graphs before generating images produces urban green space ...

Generative models for graph data form a rapidly maturing subfield at the intersection of network science and machine learning, aiming to synthesise realistic graph structures that capture the ...

The initial surge of excitement and apprehension surrounding ChatGPT is waning. The problem is, where does that leave the enterprise? Is this a passing trend that can safely be ignored or a powerful ...

TestFit thinks of all possible apartment and parking layouts. Then architects pick the best one. Dallas-based TestFit has been around since 2015 to help designers plot multi-tenant dwellings ...

Keywords: Artificial Intelligence, Generative Design, Topology Optimization, Machine Learning, CAD, CAE, Simulation, PDM, Deep Generative Models (DMGs), Artificial Neural Networks (ANNs), ...

According to 2023 research, most people are concerned about the implications of generative AI on data security, ethics, and bias. In fact, 81% of customers want a human to be in the loop, reviewing ...

AI-driven generative design automates the exploration of thousands of design permutations, significantly reducing development cycles and costs. Integration of simulation and manufacturing constraints ...

While retrieval-augmented generation is effective for simpler queries, advanced reasoning questions require deeper connections between information that exist across documents. They require a knowledge ...

The integration of generative AI (GenAI) into tools such as cloud-based SaaS (software-as-a-service) products are driving dynamic transformation in the industrial automation space. The emergence of ...