Applying artificial intelligence (AI), especially natural language processing (NLP), to harness
large amounts of information from patent databases, online communities, social media, or …

Generative models have significantly influenced both vision and language domains,
ushering in innovative multimodal applications. Although these achievements have …

Deep generative models are proven to be a useful tool for automatic design synthesis and
design space exploration. When applied in engineering design, existing generative models …

Data-driven design of mechanical metamaterials is an increasingly popular method to
combat costly physical simulations and immense, often intractable, geometrical design …

Mind mapping is a popular way to explore a design space in creative thinking exercises,
allowing users to form associations between concepts. Yet, most existing digital tools for …

Methodologies for failure assessment frequently rely on historical failure modes, causes,
and recommendations for prevention. Meanwhile, there are growing databases of narrative …

Given a ground set of items, the result diversification problem aims to select a subset with
high “quality” and “diversity” while satisfying some constraints. It arises in various real-world …

Assessing similarity between design ideas is an inherent part of many design evaluations to
measure novelty. In such evaluation tasks, humans excel at making mental connections …

Computationally studying team discourse can provide valuable, real-time insights into the
state of design teams and design cognition during problem-solving. The particular …

When selecting ideas or trying to find inspiration, designers often must sift through hundreds
or thousands of ideas. This paper provides an algorithm to rank design ideas such that the …