Results 101 to 110 of about 185,676 (265)
Generative IoT: advancing IoT with generative AI and large language models
Digital Communications and NetworksWith the fusion of Generative AI–particularly large language models (LLMs), multi-modal language models (MLLMs) such as vision-language models (VLMs), and large action models (LAMs)–with the Artificial Intelligence of Things (AIoT), the Generative ...
Farshad Firouzi +6 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
A Model for General Intelligence
CoRR, 2018 7 pages; distribution statement ...
openaire +2 more sources
Investigating transcription factor dynamics in health and disease using FRAP
FEBS Letters, EarlyView.FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj +3 more
wiley +1 more source
Federated Generative Models in Medical Imaging: Current Advances, Challenges, and Future Directions
IEEE AccessThe fusion of Federated Learning (FL) and deep generative models is transforming medical imaging by enabling privacy-preserving and data-efficient machine learning.
Haroon Mahmood +4 more
doaj +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
The role of generative AI in medical image synthesis: A review
Discover Applied SciencesMedical imaging is transformed with Generative artificial intelligence (AI) that offers robust tools for image synthesis, data augmentation and enhancement of image quality.
Ajay Karmakar +6 more
doaj +1 more source
Generative AI: Exploring the Applications of Generative Models in Creative Industries
International Journal of Emerging Research in Engineering, Science, and ManagementGenerative artificial intelligence, enabled through sophisticated machine learning frameworks, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), is disrupting the creative landscape within many of the creative industries,
G.Minni +3 more
doaj +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Generative Artificial Intelligence (AI) for Cybersecurity
Future InternetGenerative artificial intelligence (AI), including large language models (LLMs), generative adversarial networks, autoencoders, and related generative learning methods, is increasingly shaping cybersecurity research and practice [...]
Li Yang, Raha Moraffah
doaj +1 more source