Since the inception of computers, our task has become fairly easier as compared to the early 1900s. We can type memo’s and send them through electronic mails, we can talk to our loved ones who are across seven seas and we can get professional help through a video or audio call. Computers have made our tasks easier. I remember buying things at Walmart by scanning the bar code of the products. It is easy, simple and convenient.
They have improved everything around us – education and daily lives. It has become an important part of our lives. We use smartphones to carry out our daily activities. A lot of data is processed on a daily basis to derive knowledge and information. We explore and challenge computer science on a daily basis. It is like an electronic magical device of our lives. It makes complicated tasks easy and is extremely useful in making our lives simple and hassle-free.
It deals with how computers can be made to gain a high-level understanding from digital images or videos. It automates tasks that the human visual system can do.
Acquiring, analyzing, processing and understanding digital images are some of the tasks assigned to computer vision.
Computer vision deals with the theory behind artificial systems that removes information from images. The image data can take many forms like multi-dimensional data from a medical, views from multiple cameras and video sequences. It seeks to apply its models and theories for the construction of computer vision systems.
The sub-domains of computer vision are:
Since the conception of the computer, artificial intelligence or AI has been a far-flung goal of computing. However, we may be getting closer than ever with new cognitive computing models.
Technology platforms that are based on the scientific disciplines of artificial or signal processing and intelligence are referred to as cognitive computing. Vision, dialog, narrative generation, human-computer interaction, machine learning, speech recognition reasoning, and natural language processing are some of the platforms that are encompassed here.
Cognitive computing comes with a mix of computer and cognitive science. Cognitive science is the study of the human brain and how it functions. The results will have far-reaching impacts on our businesses, healthcare, and private lives.
New software or hardware that mimics the functioning of the human brain is referred to as cognitive computing. One of the major roles of cognitive computing is to simulate the human thought processes in a computerized model. The computer can mimic the way the human brain works by using self-learning algorithms that use data mining, pattern recognition, and natural language processing. Computers have difficulty recognizing unique objects in an image or understanding natural language. However, they have been faster at calculations and processing than humans for decades.
Cognitive computing represents the third era of computing where we went from computers that could tabulate sums in the 1900s to programmable systems in the 1950s, and now to cognitive systems in 2019.
These cognitive systems like IBM IBM +0%’s Watson, depend heavily on deep learning algorithms and neural networks to process information by comparing it to a teaching set of data. When more data the system is exposed to, there is a probability that it learns more. As time goes by the more accurate it becomes over time, and the neural network is a complex “tree” of decisions the computer can make to arrive at an answer.
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