In this tutorial, we explore advanced computer vision techniques using TorchVision’s v2 transforms, modern augmentation strategies, and powerful training enhancements. We walk through the process of building an augmentation pipeline, applying MixUp and CutMix, designing a modern CNN with attention, and implementing a robust training loop. By running everything seamlessly in Google Colab, we position…
We’re expanding our risk domains and refining our risk assessment process. AI breakthroughs are transforming our everyday lives, from advancing mathematics, biology and astronomy to realizing the potential of personalized education. As we build increasingly powerful AI models, we’re committed to responsibly developing our technologies and taking an evidence-based approach to staying ahead of emerging…
In this tutorial, we walk step by step through using Hugging Face’s LeRobot library to train and evaluate a behavior-cloning policy on the PushT dataset. We begin by setting up the environment in Google Colab, installing the required dependencies, and loading the dataset through LeRobot’s unified API. We then design a compact visuomotor policy that…
Computer vision moved fast in 2025: new multimodal backbones, larger open datasets, and tighter model–systems integration. Practitioners need sources that publish rigorously, link code and benchmarks, and track deployment patterns—not marketing posts. This list prioritizes primary research hubs, lab blogs, and production-oriented engineering outlets with consistent update cadence. Use it to monitor SOTA shifts, grab…
Our new method could help mathematicians leverage AI techniques to tackle long-standing challenges in mathematics, physics and engineering. For centuries, mathematicians have developed complex equations to describe the fundamental physics involved in fluid dynamics. These laws govern everything from the swirling vortex of a hurricane to airflow lifting an airplane’s wing. Experts can carefully craft…
What Do We Mean by “Physical AI”?
Artificial intelligence in robotics is not just a matter of clever algorithms. Robots operate in the physical world, and their intelligence emerges from the co-design of body and brain. Physical AI describes this integration, where materials, actuation, sensing, and computation shape how learning policies function. The term was…
Efficient and accountable financial management is nonnegotiable in today’s K-12 landscape. Outdated, traditional software packages can’t keep pace with the complex demands of modern schools. They must invest in a reliable, integrated finance system that unifies day-to-day operations, promoting efficiency and transparency. Discover six top-rated SaaS financial management tools for K-12 schools.
Fund Management &…
Image by Author | Ideogram
# Introduction
You know the basics of Python's standard library. You’ve probably used functions like zip() and groupby() to handle everyday tasks without fuss. But here's what most developers miss: these same functions can solve surprisingly “uncommon” problems in ways you've probably never considered. This article explains some…
Optical Character Recognition (OCR) is the process of turning images that contain text—such as scanned pages, receipts, or photographs—into machine-readable text. What began as brittle rule-based systems has evolved into a rich ecosystem of neural architectures and vision-language models capable of reading complex, multi-lingual, and handwritten documents.
How OCR Works?
Every OCR system tackles three…
Today, we’re releasing the stable version of Gemini 2.5 Flash-Lite, our fastest and lowest cost ($0.10 input per 1M, $0.40 output per 1M) model in the Gemini 2.5 model family. We built 2.5 Flash-Lite to push the frontier of intelligence per dollar, with native reasoning capabilities that can be optionally toggled on for more demanding…