br<AI>nstorm

Artificial intelligence, though old as a concept, is the future of the world of technology. It is a revolutionary discipline that involves cognitive functions like learning, problem solving, reasoning, etc. AI can ‘timelapse’ the world to the future and we are looking for ideas that echo with brilliance and an urge to make this world a better place to live in.

Machine Learning

Machine learning refers to algorithms resolving the data into components, learning from that data, and then applying the learning to make informed decisions. This technique, which is often simply referred to as AI, is used in many services that offer automated recommendations. Machine learning fuels all sorts of automated tasks that span across multiple industries. Machine learning involves a lot of complex math and coding. "Machine learning" is the ability that allows a machine to perform a function with the data given to it and get progressively better over time.

Deep Learning

Deep learning is basically an evolution of machine learning. It uses a programmable neural network that allows machines to make accurate decisions. It can be said that a deep learning model is able to learn through its own method of computing. A deep learning model is designed to continually analyze data with a logic structure similar to how a human would draw conclusions. For this very purpose, deep learning applications use a layered structure of algorithms called an artificial neural network. It requires a lot of training to get the learning processes correct.

DETAILS

Participation Guidelines

No. of Teams per school: 1
No. of Participants per team: 2
Eligibility: Classes IX-XII
Finals Date: 10/09/2020
Deadlines to be adhered to.

General Guidelines

The work should be original. Referencing online materials for understanding the topic, providing proof for a statement or any other purpose is allowed. However, plagiarism is unacceptable.

Event Guidelines

Participants will be required to present their PPTs and videos, post which they will be asked to engage in a debate with the fellow participants wherein they must justify why their idea is better than their competitors’. Only one participate will engage in the debate.

Judgement criteria

• Uniqueness of idea
• Robustness of the approach
• Implementation strategy
• Commercial viability of model
• Presentation
• DEBATE