In his article on Data Science Central of January 5, 2017, TFA Member and Futurist Ajit Jaokar asks the question: “How many cats does it need to identify a Cat?” “This question is in reference to Andrew Ng’s famous paper on Deep Learning,” write Ajit Jaokar, “where he was correctly able to identify images of Cats from YouTube videos. On one level, the answer is very clear: because Andrew Ng lists that number in his paper. That number is 10 million images .. But the answer is incomplete because the question itself is limiting since there are a lot more details in the implementation.” » read more.
In his essay “Twelve types of Artificial Intelligence (AI) problem”, Ajit Jaokar looks at:
Domain expert: Problems which involve Reasoning based on a complex body of knowledge
Domain extension: Problems which involve extending a complex body of Knowledge
Complex Planner: Tasks which involve Planning
Better communicator: Tasks which involve improving existing communication
New Perception: Tasks which involve Perception
Enterprise AI: AI meets Re-engineering the corporation!
Enterprise AI adding unstructured data and Cognitive capabilities to ERP and Datawarehousing
Problems which impact domains due to second order consequences of AI
Problems in the near future that could benefit from improved algorithms
Evolution of Expert systems
Super Long sequence pattern recognition
Extending Sentiment Analysis using AI
Read all about it on Data Science Central or download Ajit Jaokar’s complete essay as PDF.