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Post Office Horizon Scandal

Fujitsu a big company in Japan made a software called Horizon for the UK Post Office . The Horizon system was...

Symmetry Can Come To The Aid Of Ml

Behrooz Tahmasebi and Stefanie Jegelka modified Weyls law to consider symm...

Funsearch (Short For Searching In The Function Space)

FunSearch stands at the forefront of AI innovation pushing the boundaries of whats possible by finding new solutions to longstanding problems...

Simplifying Metal Printing

Liquid Metal Printing involves melting aluminum and pouring it in a pattern into a container filled with tiny glass beads . This...

Simplifying Complex Math With Alphageometry

AlphaGeometry a new theorem prover for Euclidean plane geometry is changing the game by generating its training...

Web

Cross-site Scripting (Xss) And Cross-site Request Forgery (Csrf)

CrossSite Scripting XSS and CrossSite Request Forgery CSRF are common web security vulnerabilities but they exploit...

Web

Comparing Cookies And Localstorage

Cookies do store data locally in the users browser but they operate differently from localStorage . Cookies are data stored by...

Languages

React

Detailed React Hooks

This table provides a detailed guide to the major React hooks their primary use cases and benefits the specific problems they address...

Rust

Ownership Borrowing And Lifetimes In Rust

Rust has a set of rules that governs how Rust manages memory . Each value has a single owner responsible for its...

Understanding Concurrency: Goroutines In Go Vs. C++ Threads

Goroutines are lightweight with each requiring only a few kilobytes of stack memory . This allows for creating...

Mathematics

Distribution

Standardization And Normalization.

Normalization rescales data to have a mean of and a standard deviation of unit variance . Standardization is especially...

Distribution

Kl Divergence

KL Divergence is a measure of how one probability distribution diverges from a second expected probability distribution . KL Diver...

Linear

Dot Product In Ml

When you multiply a matrix A of size n times d with a matrix B of size d times n the resulting...

Linear

Eigen Vector And Values

Eigenvectors and eigenvalues are fundamental concepts in linear algebra and play a significant role in machine learning...

Ml And Dl

Vision

Contrastive Representation Learning

Contrastive Representation Learning is a selfsupervised learning framework that learns representations by contrasting positive pairs against negative pairs...

Gan

Generative Adversarial Networks

GANs are a class of artificial intelligence algorithms used in unsupervised machine learning implemented by a system of...

Probability

Non-probabilistic (Deterministic) Models And Probabilistic Models

Nonprobabilistic deterministic models and probabilistic models are often categorized into two broad types based on...

Nlp

Transformer

Attention Mechanism In Transformer

The attention mechanism is designed to focus on different parts of the input data depending on the context . The strength of...

Bert

Bert For Different Tasks

The beauty of BERT lies in its ability to adapt to a wide range of tasks with minimal architectural changes leveraging...

Transformer

Encoder In The Transformer

Each encoder in the Transformer consists of two main parts Multihead SelfAttention followed by Add Normalize...

Reinforcement

Reinforcement Learning Classification

The ultimate goal in reinforcement learning is to learn an optimal policy which dictates the best action to take in every state...

Monte

Monte Carlo Method

Monte Carlo methods in reinforcement learning are a way to estimate value functions and derive optimal policies from them . Monte Carlo...

Value Iteration Algorithm

Value Iteration is different from policy iteration . It updates the value function using the Bellman Optimality Equation...