Physics is central to understanding and shaping the real world, and the ability to solve physics problems is a key indicator of real-world physical intelligence. Physics Olympiads, renowned as the crown of competitive physics, provide a rigorous testbed requiring complex reasoning and deep multimodal understanding, yet they remain largely underexplored in AI research. Existing approaches are predominantly single-model based, and open-source MLLMs rarely reach gold-medal-level performance. To address this gap, we propose PhysicsMinions, a coevolutionary multi-agent system for Physics Olympiad. Its architecture features three synergistic studios: a Visual Studio to interpret diagrams, a Logic Studio to formulate solutions, and a Review Studio to perform dual-stage verification. The system coevolves through an iterative refinement loop where feedback from the Review Studio continuously guides the Logic Studio, enabling the system to self-correct and converge towards the ground truth. Evaluated on the HiPhO benchmark spanning 7 latest physics Olympiads, PhysicsMinions delivers three major breakthroughs: (i) Strong generalization: it consistently improves both open-source and closed-source models of different sizes, delivering clear benefits over their single-model baselines; (ii) Historic breakthroughs: it elevates open-source models from only 1-2 to 6 gold medals across 7 Olympiads, achieving the first-ever open-source gold medal in the latest International Physics Olympiad (IPhO) under the average-score metric; and (iii) Scaling to human expert: it further advances the open-source Pass@32 score to 26.8/30 points on the latest IPhO, ranking 4th of 406 contestants and far surpassing the top single-model score of 22.7 (ranked 22nd). Generally, PhysicsMinions offers a generalizable framework for Olympiad-level problem solving, with the potential to extend across disciplines.

I've always been interested in coding, but I've never had the time to sit down and actually learn how it works. That's why I'm really happy I found this two-part deal that has Microsoft Visual Studio Pro and the Premium Learn to Code Bundle. It gave me some much-needed beginner-friendly coding lessons and the software to actually use what I learned. I do wish I'd waited a few days to buy it though. Then I'd have caught the Early Black Friday Sale and been able to get the whole thing for 55.97.

The widespread availability of Large Language Models (LLMs) within Integrated Development Environments (IDEs) has led to their speedy adoption. Conversational interactions with LLMs enable programmers to obtain natural language explanations for various software development tasks. However, LLMs often leap to action without sufficient context, giving rise to implicit assumptions and inaccurate responses. Conversations between developers and LLMs are primarily structured as question-answer pairs, where the developer is responsible for asking the the right questions and sustaining conversations across multiple turns. In this paper, we draw inspiration from interaction patterns and conversation analysis -- to design Robin, an enhanced conversational AI-assistant for debugging. Through a within-subjects user study with 12 industry professionals, we find that equipping the LLM to -- (1) leverage the insert expansion interaction pattern, (2) facilitate turn-taking, and (3) utilize debugging workflows -- leads to lowered conversation barriers, effective fault localization, and 5x improvement in bug resolution rates.

TensorFlowSharp is a good runtime to run your existing models, and is mostly a straight binding to the underlying TensorFlow runtime. Most people will want to use a higher-level library for interfacing with TensorFlow. The library was designed to blend in the .NET ecosystem and use the .NET naming conventions. I strongly recommend that you use TensorFlow.NET which takes a different approach than TensorFlowSharp, it uses the Python naming convention and has a much broader support for the higher level operations that you are likely to need - and is also actively maintained. TensorFlowSharp are .NET bindings to the TensorFlow library published here: This surfaces the C API as a strongly-typed .NET API for use from C# and F#.

Python is considered the easiest high-level, general-purpose programming language to learn, allowing you to build portable, cross-platform applications. This, along with its dynamic garbage collection and simple, concise code, makes it ideal for applications related to artificial intelligence. But how do you go from writing a simple "Hello World" app to using Python for more sophisticated projects? The following guide will introduce nine resources that can help you master Python. InventWithPython.com is a website created and maintained by Al Sweigart, a professional software developer who has dedicated much of his time to teaching people how to code. Invent With Python provides you with a host of resources (mostly in an eBook form) to help you start coding with Python.

Visual C programming for desktop application development Published 10/2022 MP4 Video: h264, 1280x720 Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning Language: English Duration: 19 lectures (3h 53m) Size: 1.69 GB Visual C programming for desktop application development What you'll learn Upon successful completion of the course, the students will be able to develop Graphical User Interface (GUI)-based applications using Visual C Students will be able to develop GUI desktop applications in VC for the applications that they have previously made in console environment using C Develop desktop application using VC in the latest version of Microsoft Visual Studio that will enable students to perform various user interface operations Students previously knowing only C will be able to learn how to develop Graphical User Interface applications through VC via easy to learn short tutorials Requirements Basic knowledge of C (console based programming) Basic knowledge of Object-Oriented programming Description Welcome to the course of, Beginning Visual C programming for desktop application development. This is a must to take course if you have just learned the basic C using console interface and wondering how various user-interface applications can be created using C . This course will enable you to understand the basics of desktop application development using the latest version of Microsoft's visual studio. The teaching methodology of this course is based on hands-on topic specific examples that enable quicker learning. In this course, you will be learning VC using the latest version of Microsoft's visual studio.

Role requiring'No experience data provided' months of experience in None Contact only through Upwork and any other attempt will disqualify the candidate. Israel Fintech Company is looking for an ASP.NET developer full-time. We are in the market for 11 years, growing all the time, and now trying to expand the business to the USA and CAD. Our working schedule is from Monday to Friday (9:00 – 18:00) in GMT 3. Must be able to communicate in English by type and by voice. A good candidate must be smart, ready for self-development, obligatory, and punctual.

DescriptionStudio 2022 Visual, an integrated development environment software ( I Ntegrated D evelopment E Nvironment - IDE) is well known that Microsoft has been developed by the company. This programming environment is used to develop computer software as well as websites, web applications, web services and mobile applications. The numerous features of this IDE have made many professional users use it. Ability to auto-complete code (IntelliSense), code reconstruction, visual interface design of applications and the ability to install multiple plugins are among the main features of this software. Visual Studio also supports 36 different languages including C, C, C #, .NET, JavaScript, CSS, Python and Robbie.

ML.NET is an open-source, cross-platform machine learning framework for .NET developers that enables integration of custom machine learning into .NET apps. In this post, we'll cover the following items: Interactive Notebooks are used extensively in data science and machine learning. They are great for data exploration and preparation, experimentation, model explainability, and even education. Last year, .NET Interactive Notebooks were announced, and you can currently use .NET Interactive Notebooks in VS Code as an extension. After talking to customers, the team decided to experiment with Interactive Notebooks in Visual Studio which has resulted in the new Notebook Editor extension!

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Let the OSS Enterprise newsletter guide your open source journey! In June, OpenAI teamed up with GitHub to launch Copilot, a service that provides suggestions for whole lines of code inside development environments like Microsoft Visual Studio. Powered by an AI model called Codex -- which OpenAI later exposed through an API -- Copilot can translate natural language into code across more than a dozen programming languages, interpreting commands in plain English and executing them. Now, a community effort is underway to create an open source, freely available alternative to Copilot and OpenAI's Codex model.