The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor
Cursor is great at writing code but not as good when it comes to design The post The Step-by-Step Process of Adding a New Feature to My IOS App with Cursor appeared first on Towards Data Science.
Build with Nano Banana Pro, our Gemini 3 Pro Image model
Nano Banana Pro, or Gemini 3 Pro Image, is our most advanced image generation and editing model.
AI maps how a new antibiotic targets gut bacteria
For patients with inflammatory bowel disease, antibiotics can be a double-edged sword. The broad-spectrum drugs often prescribed for gut flare-ups can kill helpful microbes alongside harmful ones, sometimes worsening symptoms over time. When fighting gut inflammation, you don’t always want to bring a sledgehammer to a knife fight. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and McMaster University have identified a new compound that takes a more targeted approach. The molecule, called enterololin, suppresses a […]
How we’re supporting the next generation of innovators
An overview of Google’s latest funding announcement for computer science education and the newest AI Quest.
State attorneys general warn Microsoft, OpenAI, Google, and other AI giants to fix ‘delusional’ outputs
The letter demanded companies institute new safeguards to keep users safe from harmful psychological impacts.
BNY builds “AI for everyone, everywhere” with OpenAI
BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.
Bringing powerful AI to millions across Europe with Deutsche Telekom
OpenAI is collaborating with Deutsche Telekom to bring advanced, multilingual AI experiences to millions of people across Europe. ChatGPT Enterprise will also be deployed to help employees at Deutsche Telekom improve workflows and accelerate innovation.
Kernel Principal Component Analysis (PCA): Explained with an Example
Dimensionality reduction techniques like PCA work wonderfully when datasets are linearly separable—but they break down the moment nonlinear patterns appear. That’s exactly what happens with datasets such as two moons: PCA flattens the structure and mixes the classes together. Kernel PCA fixes this limitation by mapping the data into a higher-dimensional feature space where nonlinear patterns become linearly separable. In this article, we’ll walk through how Kernel PCA works and use a simple example to visually compare PCA […]