What are the most important topics in computer science?

Below are the most important topics listed subject-wise for GATE 2020.

• Programming and Data Structures.
• Operating Systems.
• Databases.
• Computer Networks.
• Computer Organization and Architecture.
• Theory of Computation.
• Compiler Design.
• Digital Logic. Digital Logic has around 5-6\% weightage in the GATE exam.

Which topic is best for CSE students?

5 Trends in Computer Science Research

• Artificial intelligence and robotics.
• Big data analytics.
• Computer-assisted education.
• Bioinformatics.
• Cyber security.

What is a computer topic?

A computer is a machine that uses electronics to input, process, store, and output data. Computers can be connected together to form a network such as the internet, allowing the computers to communicate with each other. The processor of a computer is made from integrated circuits (chips) that contains many transistors.

What are the current hot topics in computer vision?

What are the current hot topics in computer vision? Using Generative Adversarial Networks to synthesize images and videos (e.g. DeepFakes) is a topic that has been heating up and is starting to produce some fascinating results.

What are some examples of computer vision?

Here are a few examples of established computer vision tasks: Image classification sees an image and can classify it (a dog, an apple, a person’s face). More precisely, it is able to accurately predict that a given image belongs to a certain class.

What are real-world applications of computer vision?

Real-world applications demonstrate how important computer vision is to endeavors in business, entertainment, transportation, healthcare and everyday life. A key driver for the growth of these applications is the flood of visual information flowing from smartphones, security systems, traffic cameras and other visually instrumented devices.

What is computer vision project idea?

Computer Vision Project Idea – Face detection is a technique to find the location of the human faces in an image. Computers use various types of algorithms to detect if the shape in the image resembles a face or not. You can build an app to automatically detect faces and capture the image in our system.