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Deep Generative Modeling in Network Science with Applications to Public Policy Research | RAND
Frontiers | Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation
AI scientists are studying the “emergent” abilities of large language models – TechTalks
Will Transformers Take Over Artificial Intelligence? | Quanta Magazine
Protein design and variant prediction using autoregressive generative models | Nature Communications
Bringing AI research to wireless communication and sensing
Frontiers | Artificial Intelligence Is Stupid and Causal Reasoning Will Not Fix It
Improving Diffusion Models as an Alternative To GANs, Part 1 | NVIDIA Technical Blog
Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect
The Complete Guide to Generative Adversarial Networks [GANs]
Combining generative artificial intelligence and on-chip synthesis for de novo drug design | Science Advances
Generative models for molecular discovery: Recent advances and challenges - Bilodeau - 2022 - WIREs Computational Molecular Science - Wiley Online Library
15 Generative Adversarial Networks (GAN) Based Project Ideas
Generative Adversarial Networks: Create Data from Noise | Toptal
Generative Models for Extrapolation Prediction in Materials Informatics | ACS Omega
How generative models can transform the way we discover | IBM Research Blog
At Tech's Leading Edge, Worry About a Concentration of Power - The New York Times
Frontiers | Generative Models of Brain Dynamics
Artificial Intelligence Research | Qualcomm
Deep generative models could offer the most promising developments in AI | VentureBeat
Generative Models for Extrapolation Prediction in Materials Informatics | ACS Omega
ACM: Digital Library: Communications of the ACM
GANshare: Creating and Curating Art with AI | Towards Data Science
How Artificial Intelligence Is Changing Science | Quanta Magazine
AI Art Is Challenging the Boundaries of Curation | WIRED
Generative Adversarial Networks: Build Your First Models – Real Python
Comparative Study of Deep Generative Models on Chemical Space Coverage | Journal of Chemical Information and Modeling
Artificial intelligence: A powerful paradigm for scientific research - ScienceDirect
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