top of page
  • Writer's pictureKeishaa Varma

Artificial Intelligence

Artificial intelligence (AI) is a wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence.

The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal. A subset of artificial intelligence is machine learning, which refers to the concept that computer programmes can automatically learn from and adapt to new data without being assisted by humans. Deep learning techniques enable this automatic learning through the absorption of huge amounts of unstructured data such as text, images, or video.

Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine can easily mimic and execute tasks, from the most simple to those that are even more complex. The goals of artificial intelligence include learning, reasoning, and perception.

Artificial intelligence has already formed a crucial part of our lives. From Amazon’s Alexa to the virtual assistants on our phones, all are driven and powered by artificial intelligence.

Artificial intelligence has several applications in our real life ranging from medicine to finance to even space explorations. In space exploration Artificial Intelligence is being used for NASA’s next rover mission to Mars, the Mars 2020 Rover. The AEGIS, which is an AI-based Mars rover is already on the red planet. The rover is responsible for autonomous targeting of cameras in order to perform investigations on Mars.

In the field of medicine, machine Learning – particularly Deep Learning algorithms – have recently made huge advances in automatically diagnosing diseases, making diagnostics cheaper and more accurate. An AI algorithm called DLAD (Deep Learning-based Automatic Detection) is being used to analyze chest radiographs and detect abnormal cell growth, such as potential cancers.

AI is an interdisciplinary science with multiple approaches, the advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry.



-Keishaa Varma (Batch of 2020-2021)


10 views0 comments

Recent Posts

See All

Comments


Post: Blog2 Post
bottom of page