Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., localizing the appropriate screen region for action execution based on both the visual content and the ...

The Chat feature of Google AI Studio allows users to interact with Gemini models in a conversational format. This feature can make everyday tasks easier, such as planning a trip itinerary, drafting an ...

Editor's take: Microsoft has long been the financial lifeline of OpenAI, but its growing reliance on Anthropic's models suggests that loyalty may be giving way to performance. By favoring Anthropic in ...

Microsoft Visual Studio 2026 Arrives With ‘AI Woven Into Workflow’ Your email has been sent First major visual studio upgrade in five years AI, performance, and ...

Abstract: Control systems education plays a fundamental role in engineering education, as it provides the foundation for understanding how dynamic systems respond to various inputs and behave over ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Scanning electrochemical cell microscopy (SECCM) produces nanoscale-resolution ...

Large Language Models (LLMs) have demonstrated remarkable potential in performing complex tasks by building intelligent agents. As individuals increasingly engage with the digital world, these models ...