A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...
In a clear reflection of the Federal Government’s commitment to protecting critical economic sectors, especially manufacturing, while maintaining an efficient revenue collection system, the Nigeria ...
Abstract: Cutting-edge robot learning techniques including foundation models and imitation learning from humans all pose huge demands on large-scale and high-quality datasets which constitute one of ...
A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...
The first decision to kick off a greenfield Java project usually sounds breezy: "Let's start with Spring Boot, it's everywhere." A few days in, someone mutters that Quarkus boots faster and saves ...
Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...
Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...
Embabel, an open source framework for authoring AI agentic flows on the JVM, has been launched by Spring Framework founder Rod Johnson. Johnson aims for Embabel to become the natural way to integrate ...
JavaFX isn't hard to learn. In fact, any developer with a little bit of object-oriented knowledge and a penchant for desktop development in Java can quickly put together a feature-rich GUI application ...