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- Microsoft Launches "CoreAI", a New AI-Focused Engineering Organization
Microsoft Launches "CoreAI", a New AI-Focused Engineering Organization
Raspberry AI Secures $24M to Revolutionize Fashion Design with Generative AI
Hey AI Fans! Happy Tuesday
Welcome to Nurowave AI!
Top story: Microsoft has announced the creation of a new engineering organization called CoreAI.
_ _ _ _ _ _ _ _ _ _ _ _
π Microsoft Launches "CoreAI"
βοΈ How to Automate Blog SEO and Content Creation with SEObot?
π° Raspberry AI Secures $24M to Revolutionize Fashion Design
π₯ Trending AI Automation Tools
π OpenAI Unveils 'Economic Blueprint' for AI Regulation and Development
π Estimated Reading Time: 5 minutes
Microsoft Launches "CoreAI"

What's happening?
Microsoft has announced the creation of a new engineering organization called CoreAI β Platform and Tools, aimed at accelerating AI infrastructure and software development within the company. This move signifies Microsoft's commitment to maintaining its competitive edge in the rapidly evolving AI landscape.
π Essential Details:
CoreAI will be led by Jay Parikh, former VP of Global Engineering at Meta, reporting directly to CEO Satya Nadella.
The new division combines Microsoft's existing Dev Div and AI platform teams, along with some employees from the Office of the CTO.
Nadella emphasized that 2025 will focus on "model-forward" applications that reshape all application categories.
The reorganization aims to ensure AI remains a top priority across Microsoft's developer teams.
CoreAI will work on building the end-to-end Copilot & AI stack for both first-party and third-party customers.
π§ Why It Matters:
This restructuring demonstrates Microsoft's strategic focus on AI as a core driver of future growth and innovation. By consolidating its AI efforts under a single organization, Microsoft aims to accelerate the development of AI technologies and their integration across its product lineup, potentially leading to more advanced AI-powered tools and services for consumers and businesses alike.
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β β β β β β β
Raspberry AI Secures $24M to Revolutionize Fashion Design with Generative AI

Overview:
Raspberry AI, a startup using generative AI to accelerate fashion design, has raised $24 million in a Series A funding round led by Andreessen Horowitz (a16z). This investment highlights the growing intersection of AI and fashion, and the potential for technology to transform traditional creative industries.
π Key Details:
Raspberry AI's platform allows designers to instantly visualize and iterate on designs, eliminating the need for time-consuming physical samples.
The company has gained significant traction, with 70 clients including major brands like Under Armour and MCM Worldwide.
Raspberry's technology stands out due to its ability to accurately interpret industry-specific terminology and create images from sketches.
The funding will be used to expand the team and venture into new areas such as home, furniture, and cosmetics product design.
Raspberry AI's annual gross merchandise value surpassed $3 billion in 2024, more than doubling from the previous year.
π€ Why It's Important:
This investment signals a shift in how the fashion industry approaches design and production. By accelerating the design process, Raspberry AI could help brands respond more quickly to trends and consumer demands, potentially reshaping the fast-fashion landscape and reducing waste in the industry.
Trending AI tools
FutrOS uses digital twin technology to optimize the performance of solar assets, improving operations and portfolio management for renewable energy projects.
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OpenAI Unveils 'Economic Blueprint' for AI Regulation and Development
The blueprint emphasizes the need for significant investment in chips, data, and energy infrastructure to "win on AI."
OpenAI calls for streamlined, nationwide regulations rather than a patchwork of state-level rules.
The company proposes export controls on AI models to prevent misuse by potentially hostile nations.
OpenAI suggests creating a voluntary pathway for AI companies to work with the government on model evaluations and safety standards.
The blueprint addresses copyright issues, arguing for AI's ability to learn from publicly available information while protecting creators.
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