Results 41 to 50 of about 24,500,069 (341)
A Generic Model of Consciousness
Journal of Artificial Intelligence and Consciousness, 2023 This is a model of consciousness. The hard problem of consciousness, what it feels like, is answered. The work builds on medical research analyzing the source and mechanisms associated with our feelings. It goes further by describing a generic model with wide applicability.
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Assessing Deep Generative Models in Chemical Composition Space
, 2022 The computational discovery of novel materials has been one of the main motivations behind research in theoretical chemistry for several decades. Despite much effort, this is far from a solved problem, however.
Karsten, Reuter +4 more
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Generative adversarial networks and diffusion models in material discovery
, 2023 The idea of materials discovery has excited and perplexed research scientists for centuries. Several different methods have been employed to find new types of materials, ranging from the arbitrary replacement of atoms in a crystal structure to advanced ...
Michael, Alverson +5 more
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Using artificial intelligence in craft education: crafting with text-to-image generative models
Digital Creativity, 2023 Artificial intelligence (AI) and the automation of creative work have received little attention in craft education. This study aimed to address this gap by exploring Finnish pre-service craft teachers’ and teacher educators’ (N = 15) insights into the ...
Henriikka Vartiainen, M. Tedre
semanticscholar +1 more source
Generative Marginalization Models
CoRR, 2023 We introduce marginalization models (MAMs), a new family of generative models for high-dimensional discrete data. They offer scalable and flexible generative modeling by explicitly modeling all induced marginal distributions. Marginalization models enable fast approximation of arbitrary marginal probabilities with a single forward pass of the neural ...
Sulin Liu +2 more
openaire +3 more sources
Generative Models as an Emerging Paradigm in the Chemical Sciences
Journal of the American Chemical Society, 2023 Traditional computational approaches to design chemical species are limited by the need to compute properties for a vast number of candidates, e.g., by discriminative modeling.
Dylan M. Anstine, O. Isayev
semanticscholar +1 more source
Discovering generative models from event logs: data-driven simulation vs deep learning [PDF]
PeerJ Computer Science, 2021 A generative model is a statistical model capable of generating new data instances from previously observed ones. In the context of business processes, a generative model creates new execution traces from a set of historical traces, also known as an ...
Manuel Camargo +2 more
doaj +2 more sources
Medical education empowered by generative artificial intelligence large language models
, 2023 Generative artificial intelligence (GAI) large language models (LLMs), like ChatGPT, have become the world's fastest growing applications. Here, we provide useful strategies for educators in medical and health science (M&HS) to integrate GAI-LLMs ...
Todorovic, Michael +11 more
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, 2021 Inverse design allows the generation of molecules with desirable physical quantities using property optimization. Deep generative models have recently been applied to tackle inverse design, as they possess the ability to optimize molecular properties ...
Gabriel, dos Passos Gomes +9 more
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