AI

Earth observation (EO) constellations capture many high-resolution images every day, but most of them do not reach the ground during model training. Downlink bandwidth is the main bottleneck. Images can remain in orbit for days while ground models train with partial and delayed data. Microsoft researchers have introduced the ‘OrbitalBrain’ framework as an alternative. Instead … Read more

When I first started working in the medical device industry nearly 20 years ago, static analysis tools took the limelight and attention of the medical device industry. This was reflected in a 2007 press article, which highlighted a major investment by the United States Food and Drug Administration (FDA) Center for Devices and Radiological Health … Read more

Autonomous AI agents are entering real-world workflows, managing projects and performing complex tasks with increasing automation. As their responsibilities increase, the need for robust security, reliability, and performance control increases. Manufacturing environments require predictable behavior, safe automation, and supervision. This article focuses on how OpenClaw 2026.2.3, the latest version of OpenClaw, strengthens the foundations that … Read more

Robots enter their GPT-3 era. For years, researchers have been trying to train robots using the same autoregressive (AR) models that power large-scale linguistic models (LLMs). If the model can predict the next word in a sentence, it should be able to predict the next movement of the robot arm. … Read more

In this tutorial, we show how we treat data as first-class, versioned artifacts and apply robust regression testing to the behavior of a large language model using MLflow. We design a test pipeline that includes data versions, rapid variations, model outputs, and multiple quality metrics in a fully reproducible manner. By combining classical text metrics … Read more

With a focus on open interactions, Yami allows emotional storytelling, character depth, passionate dialogue, and mature situations to develop naturally without sudden content restrictions. ⚡️ FAVORITE CONVERSATIONS ⚡️ Candy AI Try Candy AI Unfiltered Chat with AI GirlsPictures and voice messagesVideo Generation My dream friend Try Mydreamcompanion Spicy AI ChattingText and voice messagesAI Girlfriend who … Read more

How close can an open model get to AlphaFold3 level accuracy if it matches the training data, model scale and decision budget? ByteDance presented Protenix-v1perfect Reproduction of AlphaFold3 (AF3). for the prediction of biomolecular structure, extracted with code and model parameters under Apache 2.0. The model is directed AF3 level performance for all protein, DNA, … Read more

In this lesson, we go through advanced testing, from the end of the Polyfactorywe focus on how to generate rich, pseudo-realistic data directly from Python type schemes. We begin by setting up the environment and continue to create data class factories, Pydantic models, and atrs-based classes, while demonstrating customization, overriding, calculated fields, and nested object … Read more

Producing images ready for publication is a labor-intensive bottleneck in the research workflow. While AI scientists can now manage literature and code reviews, they struggle to communicate complex findings. A team of researchers from Google and Peking University introduced a new framework called ‘Paper Banana‘ is changing that by using … Read more

In this tutorial, we build an AI workflow for a highly advanced agent that behaves like a production-grade research and reasoning system instead of a single quick call. We import real web sources in the same way, divide them into historical fragments, and apply hybrid retrieval using both embedded TF-IDF (sparse) and OpenAI (dense), and … Read more