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Azure AI Foundry Labs: a hub for the Latest AI Research and Experiments at Microsoft
Microsoft's Azure AI Foundry Labs revolutionizes AI development by bridging cutting-edge research with real-world applications. Offering experimental projects like Aurora and MatterSim empowers developers to prototype new technologies. With tools for dynamic learning and multimodal models, Azure Labs accelerates innovation and collaboration.
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Microsoft Releases BioEmu-1: a Deep Learning Model for Protein Structure Prediction
Microsoft Research has introduced BioEmu-1, a deep-learning model designed to predict the range of structural conformations that proteins can adopt. Unlike traditional methods that provide a single static structure, BioEmu-1 generates structural ensembles, offering a broader view of protein dynamics.
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Microsoft Launches Visual Studio 2022 v17.13 with AI-Powered Enhancements and Improved Debugging
Microsoft has released Visual Studio 2022 v17.13, introducing significant improvements in AI-assisted development, debugging, productivity, and cloud integration. This update focuses on refining workflows, enhancing code management, and improving the overall developer experience.
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Microsoft Unveils the First Topological Quantum Chip Majorana 1
Microsoft's Majorana 1 is the world's first Quantum Processing Unit (QPU), utilizing innovative Topological Core architecture. By harnessing topoconductors and Majorana particles, it promises scalable, reliable qubits for quantum computing. This breakthrough could revolutionize industries, particularly healthcare, solving complex challenges at unprecedented scales.
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Azure AI Agent Service Now in Public Preview for Developers in AI Foundry SDK and Portal
Introducing the Azure AI Agent Service: a groundbreaking platform that empowers developers to design, deploy, and manage intelligent AI agents seamlessly integrated within the Microsoft ecosystem. Automate tasks, access real-time data, and monitor performance, all while benefiting from easy setup and advanced orchestration. Transform your business with AI-driven efficiency and innovation.
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Microsoft Introduces CoRAG: Enhancing AI Retrieval with Iterative Reasoning
Microsoft AI has introduced Chain-of-Retrieval Augmented Generation (CoRAG), a new AI framework designed to enhance Retrieval-Augmented Generation (RAG) models. Unlike traditional RAG systems, which rely on a single retrieval step, CoRAG enables iterative search and reasoning, allowing AI models to refine their retrievals dynamically before generating answers.
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OpenAI Features New o3-mini Model on Microsoft Azure OpenAI Service
OpenAI has launched the advanced o3-mini model via Microsoft Azure, enhancing AI applications with improved cost efficiency, faster performance, and adjustable reasoning capabilities. Designed for complex tasks, it supports structured outputs and backward compatibility. With widespread access, the o3-mini empowers developers to drive innovation across various industries.
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Microsoft Phi-4 is a Small Language Model Specialized for Complex Math Reasoning
Phi-4 is 14B parameter model from Microsoft Research that aims to improve the state of the art for math reasoning. Previously available on Azure AI Foundry, Phi-4 has recently become available on Hugging Face under the MIT license.
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Microsoft Research Unveils rStar-Math: Advancing Mathematical Reasoning in Small Language Models
Microsoft Research unveiled rStar-Math, a framework that demonstrates the ability of small language models (SLMs) to achieve mathematical reasoning capabilities comparable to, and in some cases exceeding, larger models like OpenAI's o1-mini. This is accomplished without the need for more advanced models, representing a novel approach to enhancing the inference capabilities of AI.
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Microsoft Research Introduces AIOpsLab: a Framework for AI-Driven Cloud Operations
Microsoft Research unveiled AIOpsLab, an open-source framework designed to advance the development and evaluation of AI agents for cloud operations. The tool provides a standardized and scalable platform to address challenges in fault diagnosis, incident mitigation, and system reliability within complex cloud environments.
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Microsoft Introduces Serverless GPUs on Azure Container Apps in Public Preview
Discover the power of Azure Container Apps with serverless GPUs, now in public preview! Leverage NVIDIA A100 and T4 GPUs for real-time AI inferencing and machine learning, all without infrastructure management. Enjoy scale-to-zero capabilities and per-second billing, optimizing both performance and costs. Unlock innovation with seamless Azure integration!
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Azure Boost DPU: Microsoft's New Silicon Solution for Enhanced Cloud Performance
At Ignite 2024, Microsoft unveiled the Azure Boost DPU, its first in-house solution for low-power, data-centric workloads. This innovative chip optimizes cloud performance and security, offering triple the efficiency of CPUs. With a robust hardware-software design, Microsoft’s advancements position it to redefine AI and cloud infrastructure.
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Azure AI Agent Service in Public Preview: Automation of Routine Tasks
Unveiling at Ignite, Microsoft's Azure AI Agent Service empowers developers to build and scale AI agents seamlessly. With secure integration, flexible use cases, and support for multiple frameworks, it automates workflows across platforms like Teams and Excel. Experience the future of business automation—innovate efficiently with Azure AI today!
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Ai2 Launches OLMo 2, a Fully Open-Source Foundation Model
The Allen Institute for AI research team has introduced OLMo 2, a new family of open-source language models available in 7 billion (7B) and 13 billion (13B) parameter configurations. Trained on up to 5 trillion tokens, these models redefine training stability, adopting staged training processes, and incorporating diverse datasets.
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Microsoft Introduces Magentic-One, a Generalist Multi-Agent System
Microsoft has announced the release of Magentic-One, a new generalist multi-agent system designed to handle open-ended tasks involving web and file-based environments. This system aims to assist with complex, multi-step tasks across various domains, improving efficiency in activities such as software development, data analysis, and web navigation.