Pinaki Laskar on LinkedIn: #ai #machineintelligence #datascience #engineering

What is the understanding about some of the most important conceptions in the philosophy of #AI? Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. My philosophy, science and engineering of #machineintelligence and learning is plain and clear, The basis of MIL is all quantitative sciences, as mathematics and physics, statistics, probability theory and #datascience and #engineering, all within the framework of the data universe ontology, Establishing quantitative structure and relationships between different quantities is the cornerstone of mathematical and physical sciences. Their progress is achieved due to transforming the abstract qualities of entities into quantities, like as postulating that all material bodies marked by quantitative properties or physical dimensions are subject to some measurements and observations.