Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
AI ARTIFICIAL INTELLIGENCE IN CHEMICAL FIELD – INNOVATION AND RISK EVALUATION
AI ARTIFICIAL INTELLIGENCE IN CHEMICAL FIELD – INNOVATION AND RISK EVALUATION
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Luisetto M.
,
Edbey K.
,
Mashori G. R.
,
HAMID G. H.
,
Gadama G.P.
,
Cabianca l.
,
Latyshev O. Y.
Format:
Recurso digital
Published:
Zenodo
2025
Subjects:
AI – artificial intellience ,ML machine learning, LLM large Language models, chat- bot, algorytm Prompt , chemistry, chemicals,Errors, hallucination , risk, precaution , education , research, oncology.
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.16762389
Similar Items
LLM Contextizer
by: Flores, Carlos Ulisses
Published: (2026)
Extra Large Language Models Benchmarking for Medicinal Chemistry
by: Kawchak, Kevin
Published: (2024)
Prompt-Based No-Code Website Generation Platform
by: Dibjyoti Hota, Dibjyoti Hota, et al.
Published: (2025)
Java development tools with IntelliJ workshop
by: Dornier, Rémy, et al.
Published: (2026)
Axiomatic Criterion Atlas (ACA): Persistent Geometry-Based Semantic Navigation
by: Ernesto, Rosati Beristain
Published: (2026)