Results 41 to 50 of about 212,177 (318)
ChatGPT and Generative AI in IT Processes [PDF]
, 2023 The research question is how to use generative AI, specifically ChatGPT, to improve IT processes. This research will explore the various ways in which ChatGPT can be used to improve IT processes, including automating tasks, reducing manual labor, and ...
Ma, Chuan
core
IEV2Mol: Molecular Generative Model Considering Protein-Ligand Interaction Energy Vectors. [PDF]
J Chem Inf ModelGenerating drug candidates with desired protein‒ligand interactions is a significant challenge in structure-based drug design. In this study, a new generative model, IEV2Mol, is proposed that incorporates interaction energy vectors (IEVs) between ...
Ozawa M +3 more
europepmc +2 more sources
NatureAbstract Generative models cover various application areas, including image and video synthesis, natural language processing and molecular design, among many others1–11. As digital generative models become larger, scalable inference in a fast and energy-efficient manner becomes a challenge12–14.
Shiqi Chen +4 more
openaire +5 more sources
Generative AI Design and Exploration of Nucleoside Analogs [PDF]
, 2021 Nucleosides are fundamental building blocks of DNA and RNA in all life forms and viruses. In addition, natural nucleosides and their analogs are critical in prebiotic chemistry, innate immunity, signaling, antiviral drug discovery and artificial ...
Damien, Dablain +2 more
core +1 more source
Automatic model generation [PDF]
Proceedings of the 18th conference on Winter simulation - WSC '86, 1986 The Facility Analysis and Simulation Technique (FAST) is a product which has been developed by the Electronics Automation Application Center (EAAC) of the General Electric Company. Currently in version 2.0, FAST has been developed to analyze electronics facilities resource requirements by utilizing years of EAAC expertise in this environment.
openaire +1 more source
On the Generalization of Diffusion Model
CoRR, 2023 The diffusion probabilistic generative models are widely used to generate high-quality data. Though they can synthetic data that does not exist in the training set, the rationale behind such generalization is still unexplored. In this paper, we formally define the generalization of the generative model, which is measured by the mutual information ...
Mingyang Yi, Jiacheng Sun, Zhenguo Li
openaire +2 more sources
Using Artificial Intelligence (AI) Generative Technologies For Business Model Design with IDEATe Process: A Speculative Viewpoint [PDF]
PurposeArtificial Intelligence (AI) and the more recent generative technologies are disrupting many activities related to strategy and operations within organizations. Business model design is no exception. We define business model design as an iterative
Lecocq, Xavier +3 more
core +2 more sources
Depth Estimation From a Light Field Image Pair With a Generative Model
IEEE Access, 2019 In this paper, we propose a novel method to estimate the disparity maps from a light field image pair captured by a pair of light field cameras. Our method integrates two types of critical depth cues, which are separately inferred from the epipolar plane
Tao Yan +5 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Listening with generative models
Cognition, 2023 Abstract Perception has long been envisioned to use an internal model of the world to explain the causes of sensory signals. However, such accounts have historically not been testable, typically requiring intractable search through the space of possible explanations.
Maddie Cusimano +2 more
openaire +2 more sources