# Corruption with Delegation
We are entering a new AI era, in which interaction turns into work delegation. Users not only just chat with an AI that answers their questions: they increasingly delegate long-horizon tasks — from editing source code to formatting professional text or even managing accounting books. Therefore, they trust AI…
In this tutorial, we work through an end-to-end workflow for Qualcomm AI Hub Models. We start by setting up the required package, discovering the available model collection, and loading MobileNet-V2 for local PyTorch inference. We also handle an important input-shape issue by converting NHWC image tensors into the NCHW format expected by the model. From…
As generative media becomes more advanced and accessible, it’s helpful to know where content comes from, and whether it’s been altered. Today, we’re expanding our content transparency and verification tools in Search, Gemini, Chrome, Pixel and Cloud, and deepening our partnership with the broader industry. Scaling our technology Three years ago, we introduced SynthID, our…
# Introduction
Writing to files is an essential Python skill. It lets you save data permanently instead of losing it when your program stops. You can use file saving to store results, logs, reports, user input, settings, and structured data.
In this guide, you will learn how to create text files, write multiple…
For centuries, the scientific method has been the greatest engine of human progress. At Google, our mission is deeply rooted in building tools to accelerate it. We believe that a new era of discovery won’t come from narrow, specialized models, but general agents that empower researchers across every scientific field. That’s why we are introducing…
NVIDIA AI team have released Cosmos 3. It is a family of omnimodal world models for physical AI. The models combine physical reasoning, world generation, and action generation. All three capabilities live inside one open model. NVIDIA open sourced the checkpoints, training scripts, deployment tools, and datasets. The Cosmos 3 release targets robotics, autonomous vehicles,…
# Introduction
For a long time, running transformer models meant maintaining a Python server, paying for GPU time, and routing every inference request through an API. The user typed something, it left their machine, touched your infrastructure, and came back as a prediction. That architecture made sense when the models were too large…
Last year, Nano Banana brought Gemini's intelligence to image generation and editing. Since then, it’s helped millions of people restore old photos, design from sketches and visualize ideas in ways that weren’t possible before. From the start we built Gemini to be natively multimodal from the ground up, and now we’re taking the next step.…
Genesis AI released Genesis World 1.0. The platform consists of four components: the Genesis World physics engine, Nyx (a real-time path-traced renderer), Quadrants (a Python-to-GPU compiler), and a simulation interface. It is designed to accelerate robotics foundation model development through simulation-based evaluation.
Robotics model development has two bottlenecks: data and iteration speed. The field has…
# Introduction
In a recent article on Machine Learning Mastery, we built a tool-calling agent that reached outward, that is pulling weather, news, currency rates, and time from public APIs. That article covered the synthesis half of the pattern nicely, but it left the more interesting half on the table: an agent that…