Social media is a tool that is becoming quite popular these days because of its user-friendly features. Social media platforms like Facebook, Instagram, Twitter and more are giving people a chance to connect with each other across distances. In other words, the whole world is at our fingertips all thanks to social media. The youth is especially one of the most dominant users of social media. All this makes you wonder that something so powerful and with such a massive reach cannot be all good....

Artificial Intelligence (AI) is revolutionizing industries with its intelligent systems. AI enhances efficiency, accuracy, and decision-making capabilities. Applications range from virtual assistants to self-driving cars, healthcare, finance, and education. Despite benefits, AI raises concerns about job displacement, bias, and ethics. As AI evolves, it's crucial to address these challenges and harness its potential to improve lives. AI's future holds immense promise, and its impact will be...

Did you know? 99% of The GenZ spend their time on phones and Entertainment. This is all due to the developing Technology. From waiting at telephone booths to speak, to AI to do our homework. Internet and Technology has changed a lot. Yet we must use Technology in the right way and possibly for good purposes. It's ok to use AI for assignments but before we must use our brain!

What is the main advantage of "Reinforcement Learning with Deep Q-Networks (DQN)" over traditional Q-learning? A) Ability to handle large state spaces by approximating the Q-value function with a deep neural network B) Use of Monte Carlo methods for estimating future rewards C) Application of linear regression to predict action values D) Increased training speed by reducing the number of episodes

Which of the following is an example of a "Meta-Learning" approach in AI? A) Training a model to learn how to learn new tasks quickly B) Applying ensemble methods to improve prediction accuracy C) Using convolutional layers to extract features from images D) Optimizing the performance of a single neural network through hyperparameter tuning

In Bayesian statistics, what does "Bayes' Theorem" allow you to calculate? A) The probability of a hypothesis given new evidence B) The maximum likelihood estimate of model parameters C) The optimal split point in decision trees D) The optimal number of clusters in k-means clustering

Which of the following is a key concept behind the "Capsule Network" (CapsNet) architecture? A) Reducing the number of network parameters by using shared weights B) Using dynamic routing to preserve spatial relationships between features C) Enhancing performance through dropout and regularization techniques D) Encoding data into a latent space for unsupervised learning