Artificial Intelligence and Deep Learning: Trends and Applications

Different businesses have experienced improvements via Artificial Intelligence (AI) together with deep learning algorithms thanks to machines that analyze complex data and detect recurring patterns for conducting automated calculations. Deep learning, which belongs to machine learning, delivers breakthroughs in computational processes for both natural language processing and computer vision and speech recognition. Research about modern AI patterns in academia looks into contemporary computing methods such as transformer models and generative adversarial networks together with AI system integration with quantum computing systems. The analysis discusses AI theory along with deep learning foundations and their existing practical applications, which show how advanced processing methods and unique combination methods will create new industrial opportunities.

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-03-31
DOI
https://doi.org/10.55041/ijsrem43336
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial Intelligence and Deep Learning: Trends and Applications

Rasaghna Thatipelly
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Advanced Data Processing Techniques
article

Artificial Intelligence and Deep Learning: Trends and Applications

Rasaghna Thatipelly
article en

Abstract

Different businesses have experienced improvements via Artificial Intelligence (AI) together with deep learning algorithms thanks to machines that analyze complex data and detect recurring patterns for conducting automated calculations. Deep learning, which belongs to machine learning, delivers breakthroughs in computational processes for both natural language processing and computer vision and speech recognition. Research about modern AI patterns in academia looks into contemporary computing methods such as transformer models and generative adversarial networks together with AI system integration with quantum computing systems. The analysis discusses AI theory along with deep learning foundations and their existing practical applications, which show how advanced processing methods and unique combination methods will create new industrial opportunities.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(03)
Openalex Percentile: Top 94%
Advanced Data Processing Techniques
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.

Artificial Intelligence and Deep Learning: Trends and Applications — Rasaghna Thatipelly · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS