ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS USING MICROSOFT LOBE: A LITERATURE REVIEW

Microsoft Lobe represents a significant advancement in democratizing artificial intelligence, enabling individuals with diverse technical backgrounds to effortlessly build and deploy custom machine learning models. Developed by Microsoft, Lobe offers an innovative platform that simplifies the complexities of model creation without requiring extensive coding expertise. With its user-friendly visual interface, Lobe facilitates tasks such as image classification, object detection, and data recognition through a straightforward drag-and-drop mechanism. This abstract highlights Lobe's pivotal role in making advanced Artificial Intelligence capabilities accessible to a broader audience. Beyond its technical features, Lobe fosters inclusivity by removing traditional barriers, catering to students, hobbyists, professionals, and businesses. Whether leveraging pre-built models or creating custom ones, Lobe's versatility extends across industries such as healthcare, education, and retail, promising transformative applications

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-15
DOI
https://doi.org/10.5281/zenodo.14874523
Primary Topic
Listeria monocytogenes in Food Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS USING MICROSOFT LOBE: A LITERATURE REVIEW

Zenodo (CERN European Organization for Nuclear Research)
Listeria monocytogenes in Food Safety
article

ANALYSIS OF ARTIFICIAL INTELLIGENCE APPLICATIONS USING MICROSOFT LOBE: A LITERATURE REVIEW

article en

Abstract

Microsoft Lobe represents a significant advancement in democratizing artificial intelligence, enabling individuals with diverse technical backgrounds to effortlessly build and deploy custom machine learning models. Developed by Microsoft, Lobe offers an innovative platform that simplifies the complexities of model creation without requiring extensive coding expertise. With its user-friendly visual interface, Lobe facilitates tasks such as image classification, object detection, and data recognition through a straightforward drag-and-drop mechanism. This abstract highlights Lobe's pivotal role in making advanced Artificial Intelligence capabilities accessible to a broader audience. Beyond its technical features, Lobe fosters inclusivity by removing traditional barriers, catering to students, hobbyists, professionals, and businesses. Whether leveraging pre-built models or creating custom ones, Lobe's versatility extends across industries such as healthcare, education, and retail, promising transformative applications

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Listeria monocytogenes in Food Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.