Beginner’s Guide to Machine Learning vs Deep learning
1.Working The field of computer science known as Artificial Intelligence (AI) is concerned with developing systems that can carry out tasks
Why Is the Tech World Excited About Memristor Circuits?
Memristor Circuits are a new kind of electronic part. They could change how computers are built. The word "memristor" mixes
Polyfunctional Robots: A New Era of Intelligent Automation
Understanding Polyfunctional RobotsIn the ever-evolving landscape of robotics, polyfunctional robots have emerged as a groundbreaking innovation. These robots are designed
Deep Learning: The Next Step in Machine Learning
In our previous blog, "Machine Learning 101: A Beginner’s Handbook," we laid the groundwork by explaining the fundamental concepts of
Driving into the AI Future: The Integration of AI in Automobiles
In today's rapidly evolving technological landscape, the automotive industry stands at the forefront of innovation. From electric vehicles to self-driving
Self-Supervised Learning — A Comprehensive Introduction
Notes: For more articles on Generative AI, LLMs, RAG etc, one can visit the “Generative AI Series.” For such library of
New Tech ALERT: Introducing AutoGen, Revolutionizing AI Collaboration
AutoGen, a ground-breaking project by Microsoft, introduces a paradigm shift in AI collaboration. This innovative framework allows the creation and
Adam: Efficient Deep Learning Optimization
Adam (Adaptive Moment Estimation) is an optimization algorithm commonly used for training machine learning models, particularly deep neural networks. It
Accelerate Convergence: Mini-batch Momentum in Deep Learning
Imagine you're climbing a hill, and you want to find the quickest way to reach the top. There are different
EfficientDL: Mini-batch Gradient Descent Explained
Mini-batch Gradient Descent is a compromise between Batch Gradient Descent (BGD) and Stochastic Gradient Descent (SGD). It involves updating the