I published two IEEE Access papers as an undergrad, one on IoT security, one on cancer detection
I'm a 6th semester CS student at COMSATS University Islamabad. Over the past few months I've been doing deep learning research alongside my coursework…
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Flash Attention: what it does and why it matters
Flash Attention: what it does and why it matters Your training job is paying for an A100 at $3/hour. The loss is going down, gradients are flowing, an…
Understanding Attention in Transformers — Intuition Before Equations
When people first hear about Transformers, they often encounter words like Query, Key, Value, and Attention Heads and feel confused. But the main idea…
A11: A Structural Answer to AI Collapse
Modern AI models are becoming increasingly powerful, but their growing capabilities come with rising risks of degradation: the loss of rare patterns, …
NVIDIA Cosmos 3: Unifying Physical AI Reasoning and Generation with Two-Tower Architecture
Training a robot to pick up an object sounds simple until you realize how many separate systems are involved: a vision model to understand the scene, …
NVIDIA Cosmos 3: How a Two-Tower Architecture Unifies Physical AI Reasoning and Generation
Training a robot to pick up an object sounds simple until you realize how many separate systems are involved: a vision model to understand the scene, …
ai, deepseek, machinelearning
title: The Rise of China's LLMs: A Complete History from 2017 to 2026 published: ture description: From Wu Dao 2.0 (1.75T params) to DeepSeek V3 ($5.6…
Time When More Layers Meant Worse Model ... Birth Of Residual
class TinyTransformer(nn.Module): def __init__(self): super().__init__() # setting the constructor for the initial values that we are every gonna need…
The Machine Learning Engineering Series
Part 1: From Scratch to Systems . This machine learning series will be a real ride. It’s an interactive journey where I’ll be sharing and raising lots…
VLA or IL? A Controlled Dataset for Testing Whether Finetuning Turns Your VLA into a Fancy Imitation Learner
Motivation Robot manipulation is the ability of a robot to interact with and manipulate objects in the physical world, such as grasping objects, movin…
AlphaEvolve: Google DeepMind's Gemini-Powered Evolutionary Coding Agent
Inside AlphaEvolve: How Neural Networks and Evolutionary Algorithms Are Self-Optimizing Software For several years, the role of Artificial Intelligenc…
Handling Non-Stationary Time Series: Building a Probabilistic Engine with XGBoost & Python
If you have ever tried to apply Machine Learning to financial time series, you know the heartbreak of the "perfect backtest." You build a model, train…
When Chaos Wins: Adding Noise Improved My Snake AI's Stability
Greetings all! Continuing the series where I build Rainbow DQN one component at a time on Snake. The first post covered encoding, the second covered m…
Stop Guessing Which Weights Your Neural Network Actually Learned: Deterministic Initialization That Tracks Every Change
The Problem Nobody Talks About You've spent hours training your neural network. The loss converged, metrics look good, and you're ready to deploy. But…
Generation 1 — Standalone Models (2018–2022)
The Foundation of Modern AI Systems When people think of tools like ChatGPT, they often assume the intelligence comes from a single powerful system th…
The Paper That Taught Neural Networks to Learn Backwards
Last week I read the 1958 Rosenblatt paper. The one that started everything. The Perceptron, the first learning machine, the idea that memory lives in…
How Deep Learning Architectures Evolved — From DNNs to Transformers
Deep learning architectures are not random model names. DNN, CNN, RNN, and Transformer each appeared because data has different structure. Images need…
Removing PER From Rainbow DQN Set a New Snake AI World Record
Greetings all! Quick context: this is part of an ongoing series where I'm building Rainbow DQN one component at a time on Snake and measuring what eac…
What Deep Learning Really Means — From Neural Networks to Modern AI
Deep learning is not just “a neural network with more layers.” That explanation is too small. The real idea is this: Deep learning lets models learn u…
How CNNs Work — From Convolution Kernels to ResNet
CNNs changed computer vision because they stopped treating images like flat lists of numbers. An image has structure. Pixels near each other usually m…
🌿 Plant Disease Detection System
Agriculture is the backbone of many economies, yet plant diseases continue to cause massive crop losses every year. What if farmers could detect disea…
A11 and AGI: A Structural Approach for Models
1. What AGI Actually Requires (A Structural Definition) In open discussions, “AGI” is often described as: a very large model, a universal problem solv…