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Artificial Intelligence or AI as more popularly known is the simulation of human intelligence processes by machines, especially computer systems. The world we live in today is inundated with data beyond the comprehension skills of an average human mind. The ability of machines to process large data for required outcomes is far more efficient compared to humans. 
 
This opens up limitless possibilities for solving many of today’s problems. If the machines and programs could work and think like humans but at far higher speeds, they can find solutions for predicting risk behaviours, accidents or improving crop yields and providing customer insights. 
 
 There is no important field today where Artificial Intelligence is not being applied, whether in medicine, manufacturing, banking or gaming AI is being explored everywhere. Every aspiring innovator should understand and be able to apply AI in finding solutions for the problems they are working on. 
 
 AI frees up human resources to focus on bringing in more and more complex problems for which solutions are required to make the world a better place. Of course, given the immense capabilities and application possibilities, the ethical use of AI is also a growing area of study and concern.

AI brings in the possibility of combining the power of machines with human thinking as one package: this allows problem solvers and designers to teach machines to think by giving it a thinking algorithm and data for training, this is fine-tuned using a correcting mechanism
 
The capability of machines to do repetitive, detail-oriented tasks better and faster through techniques such as pattern recognition opens the possibilities of innovations in fraud detection, predicting risk behaviours, developing a smarter tutoring chatbot or creating engaging games where the game can continually learn and level up the bar for each player based on their performance. 
 
Innovation is all about trying new possibilities and checking out if they solve a problem in a better way. AI allows for this sophistication with the scope for modification based on learnings and user insights at unprecedented speeds.
 
The simulations allow us to rapidly iterate the process of design and prototype and test. The simplicity of using AI without the need to know complex programming makes AI affordable and accessible today to young innovators and students.

AI systems are based on algorithms that process large sets of training data and analysing that data for correlations and patterns and from that make predictions about future states. The foundation for building AI applications is Computational Thinking. 

 

Working on Creya Artificial Intelligence (AI) projects, students get to understand and apply skills of decomposition, pattern recognition, abstraction, and algorithms. The Creya AI projects for students of grades 1 – 10 lay the foundation for essential 21st-century skills such as problem-solving and creative thinking.

 

In the Decomposition process, students learn how to break down complex problems into smaller, simpler problems that can lend themselves for easier solving, while Pattern recognition allows them to make connections beyond the clutter. The skill for Abstraction which allows identifying important information from unrelated or irrelevant details is important in problem-solving. 

 

The entire sequence of algorithmic thinking as the means to find innovative solutions provides the best context for students in schools to develop all essential skills of learning, reasoning and self-correction.

AI is becoming the core for building products for almost all fields, ranging from complex architectural marvels to running factories,  to detecting cancer to stock trading or creating better music and art.  AI is truly at the intersection of interdisciplinary problem solving requiring data from various fields and disciplines from science to technology to psychology to design and combining them as appropriate. 

From associating and recognizing emotions to words, to creating apps that help differently-abled people, the Creya AI Projects requires the students to use skills of STEM, Coding, Algorithmic Thinking and disciplinary knowledge from diverse fields. 

 

AI devices need to function in harmony with humans and other machines or systems, so students are taught to learn from every aspect of their lives and apply it back in their projects for an iterative process of making the world a better place.

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