Generative urban design: A systematic review on problem formulation, design generation, and decision-making
Urban design is the process of designing and sha** the physical forms of cities, towns,
and suburbs. It involves the arrangement and design of street systems, groups of buildings …
and suburbs. It involves the arrangement and design of street systems, groups of buildings …
A comprehensive review on generative ai for education
Artificial Intelligence (AI) has immense potential for personalized learning experiences,
content generation, and vivid educational support. This paper delves into generative AI (GAI) …
content generation, and vivid educational support. This paper delves into generative AI (GAI) …
Generative artificial intelligence
Recent developments in the field of artificial intelligence (AI) have enabled new paradigms
of machine processing, shifting from data-driven, discriminative AI tasks toward …
of machine processing, shifting from data-driven, discriminative AI tasks toward …
Jfb: Jacobian-free backpropagation for implicit networks
A promising trend in deep learning replaces traditional feedforward networks with implicit
networks. Unlike traditional networks, implicit networks solve a fixed point equation to …
networks. Unlike traditional networks, implicit networks solve a fixed point equation to …
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
T Kim, K Behdinan - Journal of Intelligent Manufacturing, 2023 - Springer
With the high demand and sub-nanometer design for integrated circuits, surface defect
complexity and frequency for semiconductor wafers have increased; subsequently …
complexity and frequency for semiconductor wafers have increased; subsequently …
Big data in basic and translational cancer research
Historically, the primary focus of cancer research has been molecular and clinical studies of
a few essential pathways and genes. Recent years have seen the rapid accumulation of …
a few essential pathways and genes. Recent years have seen the rapid accumulation of …
A deep generative model for probabilistic energy forecasting in power systems: normalizing flows
Greater direct electrification of end-use sectors with a higher share of renewables is one of
the pillars to power a carbon-neutral society by 2050. However, in contrast to conventional …
the pillars to power a carbon-neutral society by 2050. However, in contrast to conventional …
AI-powered blockchain technology for public health: A contemporary review, open challenges, and future research directions
Blockchain technology has been growing at a substantial growth rate over the last decade.
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …
Introduced as the backbone of cryptocurrencies such as Bitcoin, it soon found its application …
G Conforti, A Durmus, M Gentiloni Silveri - arxiv e-prints, 2023 - ui.adsabs.harvard.edu
Diffusion models are a new class of generative models that revolve around the estimation of
the score function associated with a stochastic differential equation. Subsequent to its …
the score function associated with a stochastic differential equation. Subsequent to its …
Progress and challenges in structural, in situ and operando characterization of single-atom catalysts by X-ray based synchrotron radiation techniques
Single-atom catalysts (SACs) represent the ultimate size limit of nanoscale catalysts,
combining the advantages of homogeneous and heterogeneous catalysts. SACs have …
combining the advantages of homogeneous and heterogeneous catalysts. SACs have …