DeepGenius AI Research & Development
Innovative Research and Development in AI/ML
'AI For ALL' via R&D in Deep Learning applications.
Cutting-edge AI Technologies
AI Product Innovation using cutting-edge technologies.
Best Value from AI Technology
Delivering The Best Value through AI R&D and Innovation.
Advancing Tomorrow’s State of the art AI for ALL
We work on Artificial Intelligence & Computer Science Problems that defines Tomorrow’s Technology.
Our approach
DeepGenius tackles the most challenging problems in Artificial Intelligence and Computer Science. Our team aspires to make discoveries that impact everyone, and core to our approach is to share our research and tools to fuel progress in the field. Our researchers will publish regularly in academic journals, release projects as open-source, and apply research to DeepGenius products.
The Problems that DeepGenius AI primarily focuses on solving are in/from the field of AI and Machine Learning by conducting cutting-edge AI research including the basic & long term research and fundamental applied research along with the product innovation and contribution.
DeepGenius AI's Primary Research Focus Areas
We address the problems that arise from various challenges in Deep Learning, which is the emerging and popular sub-field of ML.
The AI Explainability and Interpretability
The difficulty of explaining in human terms results from AI models i.e explicability or interpretability of the large and complex (deep learning) models (i.e. Trusted AI XAI).
The Bias in Data and Algorithms
The risk of the bias in data and algorithms that causes the unintended bias and the security threats in some important use cases, for instance, in healthcare and cybersecurity that are concerned more social in nature.
The Generalizability or Generalization of AI Learning
The generalizability of the learning i.e. generalization of the AI models continues to have difficulties in carrying their experiences from one set of circumstances to another.
The Labeling/Annotation of Massive Training Datasets
The challenges in labeling and annotation of massive training datasets which is crucial for supervised learning.
The Creation and Acquisition of such Massive Datasets
The difficulties of creating and obtaining such massive datasets that are sufficiently large and comprehensive.
Product-Domain Based Research
DeepGenius Research for our products at DeepGenius portfolio is for excelling in everything that it does.
Strengthening AI Security
AI Governance Research using Risk Analysis and Social Science.
Catastrophic Risk Anaylsis AI Research
Our Long-Term Research Areas focused on Industry 4.O
Machine Intelligence, Machine Perception, (Computer Vision), Natural Language Processing, Autonomous Driving, Healthcare (Health & Bioscience), Conversational AI, Robotics, Speech Processing, Machine Translation, Data Management, Data Mining and Modeling, Distributed Systems and Parallel Computing, Human-Computer Interaction and Visualization, Artificial General Intelligence AGI.
Additional Future research areas
Algorithms and Theory, Education Innovation, Hardware and Architecture, Information Retrieval and the Web, Mobile Systems, Networking, Software Engineering, Software Systems, Quantum Computing, Blockchain, AR/VR, 3D Printing.
Reach Out To Us To Explore The Research Opportunity
Contact us with your details, interest and qualifications. We are also open to explore research partnerships with organizations.