Embodied Artificial Intelligence (AI) represents a significant paradigm shift in the field of AI research. Unlike traditional AI, which primarily operates in the digital realm, Embodied AI integrates physical entities, such as robots, to interact dynamically with the real world. This approach aims to enhance the capabilities of AI systems...
Web 3.0, also known as Web3, represents the next evolution of the World Wide Web. Originally coined by Ethereum co-founder Gavin Wood in 2014, this term signifies an envisioned future internet that shows substantial shift from the data models of Web 1.0 and Web 2.0. While these previous versions had...
In a world filled with uncertainties, decision-making algorithms play a crucial role in helping individuals and organisations navigate complex situations. Whether it’s making investment choices, strategic business decisions, or even personal life choices, these algorithms provide a systematic approach to weighing options and selecting the best course of action in...
Machine Learning (ML) has become a buzzword in the tech industry and beyond. Its applications range from recommendation systems to self-driving cars, and it’s revolutionizing the way we live and work. However, mastering ML can be a daunting task due to its complexity and the vast array of algorithms and...
In the realm of artificial intelligence, SHRDLU stands as a pioneering example of early attempts to imbue machines with natural language understanding and reasoning capabilities. Developed by Terry Winograd in the late 1960s and early 1970s at the Massachusetts Institute of Technology (MIT), SHRDLU marked a significant milestone in the...
Have you ever heard of an object defying gravity and levitating above a magnetic surface without any visible means of support? Welcome to the mind-bending phenomenon known as “quantum locking.” 🪄🔮 Quantum locking, also referred to as the “Meissner effect,” is a captivating manifestation of quantum physics that seems like...
The discriminator in Generative Adversarial Networks (GANs) has a crucial role, acting as a classifier to distinguish between genuine and fabricated samples. A perfect discriminator assigns a probability of 1 to true samples and 0 to fake ones. However, this ideal scenario can lead to a challenging problem known as...
When embarking on your research journey, a crucial step lies in presenting a comprehensive understanding of your subject area and the existing body of knowledge in your chosen field. The key to achieving this lies in crafting an effective literature review, serving multiple purposes that significantly shape the trajectory of...
In this study, researchers delved into the relationship between artificial intelligence and fake news, examining whether it serves as a friend or foe in such campaigns. Specifically, they focused on the influence of large language models in shaping the fake news phenomenon. To conduct their analysis, scientists curated an explicitly...
I have published my paper “Comparison of Optimisation Methods for The Knapsack Problem: Steepest Ascent Hill Climbing vs. Simulated Annealing” on ResearchGate. The paper explores the application of optimization algorithms, specifically Hill Climbing and Simulated Annealing, to solve the knapsack problem. The knapsack problem is a well-known combinatorial optimization problem...
