In the world of AI, with its rapid transformation of the educational landscape, artificial intelligence (AI) is no longer a futuristic concept. AI can completely transform the way we teach and learn, from automating repetitive...
Category - Artificial Intelligence
Artificial Intelligence related posts will be share here.
I. Introduction: The Blockchain Buzz – It’s More Than Just Crypto! Do you know what blockchain is? Most likely, the first thing that comes to mind is Bitcoin, or perhaps the volatile cryptocurrency market. And you...
Over the past several years, the rapid expansion of artificial intelligence (AI) has transformed numerous sectors, including healthcare and logistics. Another field in which AI is increasingly being utilized is drone technology...
Automate Repetitive TasksAdministrative tasks like email marketing, scheduling, invoicing, and customer service (in the form of chatbots) can be automated by AI software. Time is saved in the process, and hence more important...
Using RRT (Rapidly-exploring Random Tree) in automated assembly lines involves planning the paths for robotic arms or other automation equipment to optimize their movement through the workspace. Process: Define the...
Generative AI refers to a type of artificial intelligence that is capable of generating new content, such as images, text, music, or even videos, that is similar to what it has been trained on. It often uses deep learning...
Anomaly detection is a crucial task in various domains such as finance, cybersecurity, healthcare, and industrial operations. There are several tools and libraries available that can assist in anomaly detection, ranging from...

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Easiest example of Artificial Intelligence Edge Computing with Code
Edge computing refers to the practice of processing data near the edge of the network where the data is generated instead of relying on centralized data centers. This approach is particularly useful in scenarios where real-time...
Naïve Bayes algorithm is a probabilistic classifier based on Bayes’ theorem, which assumes independence between features. It’s widely used in text classification, spam filtering, and recommendation systems due to its...
Supervised machine learning algorithms are models trained on labeled data, meaning the data is already tagged with the correct answer. These algorithms learn from the labeled examples provided during training to generalize...