Microsoft

Latest AI news, models and releases from Microsoft. ['365 Copilot', 'Aurora', 'Aurora 1.5', 'Azure AI Foundry', 'Azure OpenAI', 'Bing Chat', 'Box 1', 'ChatGPT 5.4', 'Copilot', 'CoPilot', 'Copilot agents', 'Copilot Chat', 'Copilot Studio', 'Data Formulator 0.7', 'DAX Copilot', 'GitHub Copilot', 'GPT-4.1', 'GPT-5.1', 'GPT-5.2', 'GPT-5.4', 'GPT-5.4-mini', 'GPT-5.4-nano', 'GPT-5.5', 'GPT-5-mini', 'MAI', 'MAI-Code-1', 'MAI-Code-1-Flash', 'MAI-Cyber-1-Flash', 'mai-image-2.5', 'mai-image-2.5-pro', 'MAI-Image-2.5-Pro', 'MAI-Thinking-1', 'MAI-Transcribe-1.5', 'MAI-Voice-2-Flash', 'MDASH', 'Memora', 'Microsoft 365 Copilot', 'Microsoft Copilot Studio', 'Microsoft Entra Agent ID', 'Microsoft Foundry']

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Agents 🇺🇸

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Microsoft Research introduces Memora, an agentic memory system that decouples rich memory content from lightweight retrieval abstractions, achieving state-of-the-art performance on long-context benchmarks while using up to 98% fewer tokens. The system uses primary abstractions and cue anchors to balance detail and efficiency, enabling AI agents to sustain long-term collaboration.

Microsoft

Microsoft Research27.07 · 05:05

Agents 🇺🇸

SkillOpt: Turning AI Agent Skills into Trainable Parameters

Microsoft Research introduces SkillOpt, a method that treats agent skill files as trainable parameters outside a frozen model, optimizing them through controlled text edits. Across 52 evaluation cells with 6 benchmarks, 7 models, and 3 execution modes, SkillOpt consistently outperforms baselines, achieving up to +23.5 points improvement without modifying model weights. Optimized skills transfer across model scales and agent harnesses, remaining compact and auditable.

Microsoft

OpenAI

Alibaba/Qwen

Microsoft Research27.07 · 05:04

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