Decode the AI buzzwords you see daily. Learn 10 essential terms, such as model, tokens, prompt, context window, and ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

If you want to add a race to your annual 2026 goals, building a solid running base is the best place to start. For new runners, those coming back to running after a break, or those who want to ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...

If you’ve vowed to start strength training but can’t seem to make a routine stick, you’re not alone. Nathaniel Serrurier, CSCS, a personal trainer at Columbia University’s RunLab, finds that many ...

Abstract: This paper presents a Posit-based Mixed Precision (PMP) framework for deep neural network (DNN) training and inference, leveraging Posit32, Posit16, and Posit8 across different computational ...

Abstract: This work aims to develop a Code comprehensive interface for the three programming languages JAVA, C, and Python integrated with error detection and code ...

India witnessed a significant surge in GenAI learning in 2025 as professionals, students, and working learners sought to upgrade skills in AI-driven roles. With emerging AI technologies reshaping ...