Results 41 to 50 of about 1,527,016 (289)
Struggling with generative AI: Digital self-determination along infrastructures of automation
communication +1The widespread adoption of generative artificial intelligence (AI) has led to struggles on a global scale by individual and collective actors trying to secure their autonomy with reference to generative AI. There are several examples of how generative AI
Anne Mollen
doaj +2 more sources
The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation
FEBS Letters, EarlyView.Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge +6 more
wiley +1 more source
Summary Generative AI (GenAI) is an umbrella term for a collection of deep-learning computer models that take large amounts of training data that they analyze computationally and then produce (or “generate”) similar outputs based on a large number of statistical calculations. Popular AI services, including ChatGPT, Midjourney, Gemini,
Highfield, T., Miltner, K.
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Molecular property prediction in the ultra‐low data regime
Communications ChemistryData scarcity remains a major obstacle to effective machine learning in molecular property prediction and design, affecting diverse domains such as pharmaceuticals, solvents, polymers, and energy carriers.
Basem A. Eraqi +3 more
doaj +1 more source
Open PraxisThis paper investigates the complex interplay between generative artificial intelligence (AI) and human intellect in academic writing and publishing. It examines the ‘organic versus synthetic’ paradox, emphasizing the implications of using generative AI
Aras Bozkurt
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Irish Journal of Technology Enhanced Learning, 2023 This paper investigates the potential use of generative AI in ESL Writing Assessment, particularly in IELTS Writing Tasks. The first part introduces the author’s relationship with generative AI in the educational setting, and why the author chooses this
Tianhe Sun
doaj +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
JMIR Medical InformaticsBackgroundWe designed learning assignments for students to develop knowledge, skills, and professional attitudes about generative artificial intelligence (AI) in 2 different Master’s level courses in health informatics.
Freddie Seba +4 more
doaj +1 more source
Using Generative AI in Research
The slides accompany a workshop that is intended for graduate students to learn more about generative AI in the context of the research lifecycle. This work is licensed under a Creative Commons license so that others may share and adapt the content for ...
Frail, Kim & Kung, Janice
core +1 more source
Smaller is better: nanobodies meet NMR
FEBS Letters, EarlyView.Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley +1 more source