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  Introduction Microsoft introduced a new version of Copilot on September 25, 2026. The new Copilot brings Home, Code, and Autopilot together and expands how people can use AI for everyday work. In this article, we’ll look at what the new Copilot includes, how Home, Code, and Autopilot work, and when these new features will become available. What Happened? Microsoft introduced a new version of Copilot on September 25, 2026. The new Copilot brings Home, Code, and Autopilot together in one experience. Microsoft says it is designed to help users create and complete work with AI . It also brings Word, Excel, and PowerPoint into Copilot , expanding what users can do from one place.   Microsoft — Introducing the new Copilot with Home, Code and Autopilot What Is the New Microsoft Copilot? The new Microsoft Copilot is an AI workspace designed to bring more work-related AI features together in one place . It builds on Microsoft's existing AI tools for work and expands how users can...

Which AI Tools Can Analyze PDFs? Several AI tools can analyze PDF files. They can summarize documents, answer questions, and find important information. ChatGPT ChatGPT can analyze a PDF after you upload it. You can ask it to summarize the document, find specific information, explain difficult sections, or organize information from tables. Google Gemini Google Gemini also supports PDF uploads. You can ask questions about a PDF, summarize it, and analyze information from multiple files. Adobe Acrobat AI Assistant Adobe Acrobat AI Assistant is designed for PDF and document work. It can summarize PDFs, answer questions, and show where some answers come from in the document. Which One Will We Use? In this guide, we will use ChatGPT as the main example. The steps can help you understand how AI PDF analysis works, even if you use another AI tool. How to Upload a PDF to AI Uploading a PDF to ChatGPT is simple. You can follow these steps. Step 1: Open ChatGPT Open ChatGPT and start a new chat...

  AI inference is the process of using a trained AI model to produce a result from new input. During training, an AI model learns patterns from data. After training, the model can process new input and produce a result. This is called inference. In simple terms, training builds the model, while inference uses the trained model . How Does AI Inference Work? AI inference follows a simple process: Input → Preprocessing → Model → Computation → Output Each step helps the AI turn new data into a useful result. 1. Input First, the AI receives new data. The input can be different types of data, such as: Text Images Audio Video For example, when you ask an AI chatbot a question, your question is the input. An image recognition system may receive a photo as its input. 2. Preprocessing The raw input usually needs to be prepared before the AI model can process it. This step is called preprocessing . Depending on the type of data, preprocessing may include resizing an image, preparing text, or ...

  Introduction AI systems are becoming more capable, but how do we know how well they actually perform? The answer is AI evaluation . AI evaluation uses tests, tasks, and other methods to measure specific aspects of an AI system. How do we know if an AI system is performing well? What Is AI Evaluation? AI evaluation is the process of measuring an AI system's performance against a specific goal or task. For example, an evaluation may measure whether an AI can: Give correct answers Complete a task Follow instructions Produce useful results Meet specific safety requirements The important point is that the evaluation method must match the ability being measured. What Is an AI Benchmark? Figure 1. Different AI models complete the same set of tasks and produce different results. An AI benchmark is a standardized set of tasks used to measure and compare AI systems . Researchers can give the same tasks to different models and compare the results. Benchmarks can focus on areas such as: Mat...