India’s
generative ai industry,
in focus.

Creative Use of Generative Models

59.1% of this theme group

Researchers discuss challenges of applying generative models to creative industries and human‑machine co‑creation.

Generative grammar (61) · Generative model (27) · Generative Design (5) · Creativity (5)

Generative AI: Exploring the Applications of Generative Models in Creative Industries

Generative AI: The next frontier of human-machine co-creation

GANs for Imaging Applications

19.1% of this theme group

Papers highlight difficulties in using generative adversarial networks for hyperspectral and medical image generation.

Adversarial system (15) · Generative adversarial network (5) · Generative grammar (17) · Image (3)

A Dive into Generative Adversarial Networks in the World of Hyperspectral Imaging: A Survey of the State of the Art

A Review on Medical Image Generation Generative Adversarial Networks (GANs)

Ethical and Governance Concerns

11.8% of this theme group

Works examine ethical dilemmas and corporate governance issues surrounding generative AI in education and beyond.

Ethical issues (5) · Generative grammar (13) · Generative model (9) · Corporate governance (4)

INTEGRATING GENERATIVE AI IN EDUCATIONPROMISES AND CHALLENGES FOR FUTURE

Generative AI in the Post-Transformer Era: Advances, Ethical Dilemmas, and Future Directions

Synthetic Data and Deception Risks

10.0% of this theme group

Studies explore the reliability of synthetic data and its potential for fraudulent or deceptive activities online.

Synthetic data (2) · Relevance (2) · Probabilistic logic (2) · Deception (2)

Navigating the Real and the Synthetic

Deep insight into a Diverse set of Deceptive/ Fraudulent activities on Web Platforms

Impact on Literacy and Creativity

53.1% of this theme group

Authors caution about generative AI’s effects on creative skills, literacy, and educational outcomes.

Generative grammar (39) · Generative model (13) · Creativity (5) · Literacy (3)

Generative AI for pentesting: the good, the bad, the ugly

GENERATIVE ARTIFICIAL INTELLIGENCE IN EDUCATION: NAVIGATING TRANSFORMATION, IMPACT AND ETHICAL IMPERATIVES

Workflow and Big‑Data Integration

22.2% of this theme group

Research warns of complexities when embedding generative models into media, healthcare, and large‑scale data pipelines.

Generative model (10) · Generative grammar (14) · Workflow (3) · Big data (2)

Generative AI Images and Indian Media Industry: An Overview of Opportunities and Challenges

Generative AI in Healthcare: Transforming Medical Imaging, Accelerating Drug Discovery, and Enhancing Clinical Decision-Making

Adversarial Threats in Critical Domains

17.3% of this theme group

Papers discuss how adversarial generative systems can be exploited for fraud detection and medical risk prediction.

Adversarial system (12) · Generative adversarial network (5) · Generative grammar (10) · Object (2)

Generative artificial intelligence and adversarial network for fraud detections in current evolutional systems

Generative Adversarial Network-based Deep Learning Framework for Cardiovascular Disease Risk Prediction

Trustworthiness of Deepfake Detection

7.4% of this theme group

Works emphasize the need for robust, trustworthy methods to identify synthetic media and protect cybersecurity.

Trustworthiness (2) · Transformer (2) · Generative grammar (6) · Adversarial system (3)

Leveraging Vision Attention Transformers for Detection of Artificially Synthesized Dermoscopic Lesion Deepfakes Using Derm-CGAN

Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges

Image Synthesis for Medical Imaging

21.9% of this theme group

Opportunities focus on using GANs to create realistic medical images for diagnosis and training.

Adversarial system (309) · Generative adversarial network (214) · Generative grammar (311) · Image (45)

Generative Adversarial Networks for Synthesizing Abnormal Medical Images

Design and Evaluation of Generative Adversarial Network for Automated Image Colorization System

Personalized Learning with Generative AI

20.7% of this theme group

Studies explore how generative models can tailor educational content to individual learner needs.

Generative grammar (280) · Generative model (117) · Transformative learning (29) · Personalization (15)

The Prospects of Generative AI in Higher Education

Generative AI for Personalized Learning and Education

Automated Summarization and Language Tasks

15.3% of this theme group

Research highlights generative AI’s potential for natural‑language generation, summarization, and adaptive prompting.

Generative grammar (214) · Generative model (108) · Natural language (15) · Automatic summarization (8)

Transforming Education

Meta-Prompting: Exploring Higher - Order Prompts for Adaptive Task Generalization in Generative Models

Scalable Robust Generative Systems

13.3% of this theme group

Papers present methods for scaling autoencoders and generative models while improving robustness to noise.

Scalability (29) · Autoencoder (20) · Generative model (46) · Robustness (20)

Multi-Conditioning and Data Augmentation Using Generative Noise Model for Speech Emotion Recognition in Noisy Conditions

Object Detection using Synthetic Data and Generative AI

High‑Resolution Image Generation

12.1% of this theme group

Works demonstrate advances in GAN architectures for producing high‑quality images from low‑resolution inputs.

Generative adversarial network (82) · Discriminator (36) · Adversarial system (72) · Generator (30)

Skin Cancer Diagnosis Using Deep Convolutional Generative Adversarial Network for Image Classification

Improved Generative Adversarial Network for Generating High-Resolution Images from Low-Resolution Images

Deepfake Detection via Transfer Learning

8.5% of this theme group

Research leverages convolutional networks and transfer learning to improve detection of synthetic facial media.

Convolutional neural network (33) · Face (18) · Generalization (12) · Pattern recognition (24)

DeFakeNet: A ResNet50V2-Based Deep Learning Model for Deepfake Detection and Classification

Deepfake Image Detection using Transfer Learning: A Comparative Analysis

Medical Segmentation with Synthetic Augmentation

8.2% of this theme group

Studies use GAN‑generated data to enhance segmentation and classification of retinal and other medical images.

Pattern recognition (57) · Convolutional neural network (44) · Segmentation (18) · Diabetic retinopathy (9)

Improved Classification for Pneumonia Detection using Transfer Learning with GAN based Synthetic Image Augmentation

Federated Deep Learning for Cancer Diagnosis: Combining Heterogeneous Multi-Institutional Data Using GAN-Based Augmentation

Bengaluru

46.5% across the displayed hubs

22 companies hiring · $289.1M disclosed funding

Mumbai

11.6% across the displayed hubs

6 companies hiring · $37.1M disclosed funding

Delhi

11.2% across the displayed hubs

4 companies hiring · $12.8M disclosed funding

Hyderabad

9.1% across the displayed hubs

4 companies hiring · $599.0K disclosed funding

Gurugram

8.5% across the displayed hubs

4 companies hiring · $7.8M disclosed funding

Noida

5.2% across the displayed hubs

4 companies hiring · $6.6M disclosed funding

Pune

4.3% across the displayed hubs

2 companies hiring · $18.1M disclosed funding

Ahmedabad

3.6% across the displayed hubs

0 companies hiring · $200.0K disclosed funding