A DPIIT Recognized AI Tech Startup Company: A Next-Gen Integrated Autonomous Enterprise AI Platform
DeepBrainz addresses problems arising from the various challenges of deep learning, intended as the emerging and popular sub-field of machine learning through deep learning Research & DBZ uAI with our primary focus areas as follows: The AI Explainability/Interpretability The Bias & Fairness in Data and Algorithms The Generalizability or Generalization of AI Learning The Labeling of Massive Training Datasets The Creation and Acquisition of such Massive Datasets DeepBrainz AI Research for DeepBrainz Universal AI Currently building the MVP for DeepBrainz Universal AI to be utilized for healthcare, autonomous driving, conversational AI enterprises & end-users. We're still exploring the various best SOTA ML and deep learning methods and will soon have models on production. DeepBrainz Universal AI (DBZ uAI) is currently being developed as an MVP that's recently evolved from its prototype design and implementation using open source tools such as TensorFlow (Keras) Ecosystem & PyTorch Ecosystem and other popular open-source technologies. DBZ uAI is our AI pilot project as our AI product that's being built with our in-house AI team as SaaS + IaaS + PaaS + MLaaS of AIaaS with its internal modules such as uAI vision, uAI lingo, uAI predictor (uAI forecaster, uAI learner), uAI recommender, and uAI bot. DBZ uAI is currently able to solve the following use cases (tasks) using the most effective evaluation metrics with success metrics (objectives), ML methods & (massive) datasets. Automatic disease detection (diabetic retinopathy), perception of autonomous vehicles, image generation & deep-fake detection, toxicity classification & its bias detection, etc. Our future AI product is to be considered as a SaaS software, platform & infrastructure, incorporating services of auto large-scale ML & deep learning for computer vision, NLP, next-in predictions, collaborative filtering & robotics with policies.
AI Chief, Machine Learning Practitioner (Sr. ML SW Engineer & Principal Data Scientist)