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to recognise images of cats, you need to provide it with a lot of pictures of cats. The AI
                 uses data science techniques to analyse these images, learn the patterns that define a cat,
                 and then use that knowledge to identify cats in new images.

                                     Developed by scientists at DAMO Academy, Alibaba's global

                         Fun         research program, the Alibaba model scored 0.54 in the MS Marco
                         Fact!       question-answering task, which evaluates a machine's ability to use natural

                                     language that topped the human score of 0.539.



                  Computer Vision (CV)

                 Computer Vision is a very popular field of AI that trains a computer to understand and                     AI DOMAINS

                 interpret the visual world. Human vision starts at the “eyes” but machine uses digital
                 images from a camera for vision. Deep learning models and machines accurately identify
                 and  classify  objects  that  act  according  to  what  they  see,  using  digital  images  from

                 camera.                                                                                                  159

                 According to Fei-Fei Li, computer vision is defined as “a subset of mainstream artificial
                 intelligence that deals with the science of making computers or machines visually enabled,

                 i.e., they can analyse and understand an image.”




                                   What if you could map the cultural landscapes of diverse societies using AI tools?
                                   How would you use NLP, Data analysis and CV for it?





                  Real Life Applications of Different Domains of AI


                 AI is all around us. Let us look at some real life applications of the different domains
                 of AI.


                   Applications of Data Science


                 Data science in AI is widely used in various real-life applications that impact our daily
                 lives. For instance, personalised recommendation systems on platforms like Netflix and

                 Amazon rely heavily on data science. These systems analyse vast amounts of user data,
                 such as viewing history or past purchases, to predict and suggest content or products that

                 users might enjoy. The AI algorithms learn from this data, allowing the platform to offer
                 tailored recommendations that enhance the user experience.
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