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- Qwen Launches AI-Powered Image Editor🖼️✨
Qwen Launches AI-Powered Image Editor🖼️✨
Qwen-Image-Edit boosts pro-level editing, NVIDIA Nemotron Nano 9B v2 advances reasoning & multilingual AI, and Microsoft 365 Insider previews the latest AI features.
The world of AI and productivity tools is moving fast—here are three of the most exciting advancements making headlines:
🖼️ Qwen-Image-Edit – An advanced image editor powered by Qwen-Image 20B, enabling precise bilingual text edits, style transfer, object rotation, and background adjustments with pro-level accuracy.
🤖 NVIDIA Nemotron Nano 9B v2 – A 9B hybrid Mamba2-Transformer model trained on 20T+ tokens, offering top-tier reasoning, multilingual support, GPU optimization, and open licensing for flexible use.
💼 Microsoft 365 Insider – A preview hub for upcoming AI features across Windows, Mac, web, iOS, and Android—helping users stay ahead with updates, tips, and community support.
From smarter editing to faster reasoning and enhanced workflows, the future of AI is unfolding right now.
Advanced Semantic & Appearance Image Editing

Qwen-Image-Edit is an advanced image editing model built on the powerful 20B Qwen-Image foundation, offering state-of-the-art capabilities in both semantic and appearance editing. It uniquely supports high-quality bilingual (Chinese and English) text editing—allowing precise changes to text elements while preserving font and style—and excels at complex tasks such as object rotation, style transfer, and targeted modifications. The model leverages visual semantic control (Qwen2.5-VL) and visual appearance control (VAE Encoder) for fine-tuned edits, demonstrated through versatile applications including emoji creation, novel view synthesis, background adjustment, and step-by-step error correction in calligraphy. Its industry-leading benchmark results establish Qwen-Image-Edit as a significant step forward in making professional-grade image generation and editing more accessible and effective for creators.
NVIDIA Nemotron Nano 9B AI Model

NVIDIA-Nemotron-Nano-9B-v2 is a large language model developed by NVIDIA, released in August 2025, and designed for both reasoning-intensive and general chat tasks. The model features a hybrid Mamba2-Transformer architecture, supports multiple languages including English, German, French, Italian, Spanish, and Japanese, and can generate answers with or without explicit reasoning traces for adaptable performance. It was trained on over 20 trillion tokens—drawing from curated web, code, math, multilingual, and synthetic datasets, including contributions from models like Qwen—and demonstrates strong benchmark results, outperforming comparable models in reasoning accuracy. NVIDIA-Nemotron-Nano-9B-v2 is optimized for deployment on NVIDIA GPU-accelerated systems and is ready for enterprise, research, and commercial use, with runtime options for thinking-budget control and tool-calling integrations, while adhering to NVIDIA's Trustworthy AI standards and open licensing.
Stay Updated with Microsoft 365 Insider AI Features
The Microsoft 365 Insider Blog provides updates and insights on new features for Microsoft 365 as they are released to preview channels across Windows, web, Mac, iOS, and Android platforms. It serves as a hub for users to stay informed about ongoing developments in Microsoft 365, including tips and announcements. To learn more about the Microsoft 365 Insider program, users can visit the official page at aka. For technical support or troubleshooting, the Microsoft Support Community is available to assist with questions and fixes related to Microsoft 365 and Office Insider builds. The blog offers accessible content designed to keep users up-to-date with the latest innovations and improvements in the Microsoft 365 suite.
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Top AI Products from this week
Kira.art – Kira is an AI agent for creativity. Describe your idea, get an image. Edit by talking. No prompts, no layers. Build for anyone with ideas, even if you’ve never made art before. Try it, test it, break it. Just you and your imagination, in conversation.
Chat Mode – TCreate a new conversational AI agent with guided onboarding. Build intelligent voice agents with customizable personalities, tools, and capabilities.
Notte – Notte is your one-stop shop for web browser automation. Rapidly build hybrid web agent workflows where traditional web scripts meet agentic steps. This makes web automation fast, reliable and affordable at scale.
Moises AI Studio – Moises AI Studio generates stems using context-aware AI that analyses your audio, follows your timing and stays in sync with where your track is headed. This is the future of music production.
MemSync – MemSync: Unified memory for all your AI apps. One click personalizes prompts across ChatGPT, Claude & more. Your context travels with you - no more cold starts. Privacy-first with E2E encryption. Install once, let every AI remember you.
Chord Mini – Claudia is an AI personal assistant engineered for ADHD adults. You speak. She organizes. You get clarity. She'll organize your tasks, calendar events, mood, goals, routines etc. She can breakdown overwhelming tasks, add events to your calendar, help.
This week in AI
AI Designs New Antibiotics - AI has created two potential antibiotics that target drug-resistant gonorrhoea and MRSA, showing promise in labs and animal tests, with clinical trials still needed.
Meta AI Auto-Dubbing - Meta now offers AI-powered dubbing on Instagram and Facebook, enabling creators to auto-translate videos with lip-sync and voice cloning for natural delivery.
AI-Cognition Shift - AI is becoming our cognitive partner, transforming coding and creativity into a collaborative, hybrid intelligence shaping civilization’s future.
Global MCP Hackathon - Join the Descope Global MCP Hackathon (Aug 12 - Sep 8) to build AI agents, secure MCP servers, or multi-agent systems for a chance to win $25K+ in prizes and credits.
Grammarly AI Agents - Grammarly launches nine AI agents to assist students and educators with writing, grading prediction, plagiarism detection, citations, and personalized feedback, free and Pro versions available.
Paper of The Day
The paper "Hallucination Reduction in Long Input Text Summarization" addresses the challenge of hallucinations—where summaries contain information not supported by the source—in long-form text summarization. The authors fine-tune the Longformer Encoder-Decoder model on the PubMed dataset using data filtering and joint entity and summary generation techniques to reduce these hallucinations. Their experiments demonstrate improved factual consistency and summary quality, measured by entity-level precision and F1 scores, showing the fine-tuned model generates faithful and reliable abstracts with fewer hallucinated elements.
To read the whole paper, go to here.