Category: Artificial Intelligence

Graph Neural Networks are getting more and more popular and are being used extensively in a wide variety of projects….

“Our consciousness is everything. You become what you think about.” Buddha In the few minutes that you are reading this article,…

K Nearest Neighbor (KNN) is intuitive to understand and an easy to implement the algorithm. Beginners can master this algorithm…

The detection of dataset elements that differ significantly from the majority of instances is known as outlier detection. There are…

If we want a machine to be intelligent enough to have a dialogue with us in natural language or do complex tasks like diagnosing a medical condition, or any problem-solving and decision making, then first the machine needs to become knowledgeable about the real word. Machine learning enables a machine to grow knowledgeable through automatic and experience-based learning without being explicitly programmed.

But the ability of automatic learning is feasible only if the machine can rightly interpret the information of our real world. However, a machine can’t understand our language, so the knowledge of the real world needs to be represented to the machine in the right manner that is readable to a computer system. Propositional logic is one of the simplest methods of knowledge representation to a machine.

Since its inception, Artificial Intelligence has been a means of replicating human thoughts and behavior, and give these attributes to…

Forest, bush, or vegetarian fire, can be described as any uncontrolled and non-prescribed combustion or burning of plants in a natural setting such as a forest, grassland, etc. In this article we are not determining if a forest fire will take place or not, we are predicting the confidence of the forest fire based on some attributes.
Well, the first question arises as that why we even need Machine learning to predict forest fire in that particular area? So, yes the question is valid that despite having the experienced forest department who have been dealing with these issues for a long time why is there a need for ML, having said that answer is quite simple that the experienced forest department can check on 3-4 parameters from their human mind but ML on other hand can handle the numerous parameters whether it can be latitude, longitude, satellite, version, and whatnot, so dealing with this multi-relationship of a parameter that is responsible for the fire in the forest we do need ML for sure!

What do you think when someone asks you about empathy? Do you struggle to find its meaning or does it come to you naturally? In the age of artificial intelligence, do our AI systems need empathy? If so, what are some use cases where empathy can be most helpful in AI Systems?

Humans are social creatures. We thrive on empathy. When we read a book out loud to our children, they can hear the emotions we imbue into the passages. With each tone and inflection, our children will remember the love we inject into their favorite books. They will remember their bedtime reading as a special moment. They will have fond memories of the books that we read to them.

Artificial Intelligence (AI) is quickly proving how it can change the landscape of society today. With more data comes greater…

Artificial Intelligence or AI is a field of Data Science that trains machines to learn from inputs, adjust to inputted…