News from the AI & ML world
DeeperML - #aicopilot
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@the-decoder.com
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Microsoft is pushing the boundaries of AI in both security and gaming, showcasing new advancements in both fields. On the security front, Microsoft is hosting a Tech Accelerator event on April 22, 2025, aimed at guiding developers and cloud architects on effectively integrating security best practices within Azure and AI projects. The event will provide essential guidance and resources for secure planning, building, management, and optimization of Azure deployments and AI applications. Participants will gain insights from Microsoft experts, learn how to identify security risks in Azure environments, protect infrastructure from threats, and design secure AI environments and applications.
Microsoft is also making waves in the gaming world with its real-time AI-generated playable demo of Quake II. The company's WHAMM (World and Human Action MaskGIT Model) is a generative AI model capable of supporting real-time gameplay. This model represents a significant upgrade from its predecessor, WHAM-1.6B, offering faster visual output, improved resolution, and smarter gameplay response. WHAMM can generate images at over 10 frames per second with a resolution of 640x360, a notable enhancement compared to WHAM-1.6B. The WHAMM model was trained on Quake II using intentional data curation, focusing on high-quality data collected from professional game testers. This allowed the model to efficiently learn in-game behavior with significantly less data than previous iterations. Players can interact with the game using controllers or keyboards, with the model dynamically updating the environment to respond appropriately. While WHAMM is still in its early stages and has limitations, such as occasional input lag and challenges with accurately storing stats, its accelerated rate of advancement suggests a future where entirely AI-generated video games could become a reality. Recommended read:
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Ken Yeung@Ken Yeung
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Microsoft is enhancing its Copilot Studio platform with new 'deep reasoning' capabilities, allowing AI agents to solve complex problems more effectively. This upgrade also includes 'agent flows' which blend AI's flexibility with structured business automation. The new Researcher and Analyst agents for Microsoft 365 Copilot represent a significant step forward in AI agent evolution, enabling them to handle sophisticated tasks requiring detailed analysis and methodical thinking.
Microsoft's Security Copilot service is also getting a boost with a set of AI agents designed to automate repetitive tasks, freeing up security professionals to focus on more critical threats. These AI agents are designed to assist with critical tasks such as phishing, data security, and identity management. These agents showcase the breadth of what can be created when combining enterprise business data, access to advanced reasoning models, and structured workflows. Recommended read:
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mpesce@Windows Copilot News
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Microsoft is actively enhancing its Copilot service with regular updates, introducing new features and improvements. Recent updates, as of March 19, 2025, include Copilot Vision which is now available on Android devices for Pro subscribers in the United States, allowing users to leverage their phone's camera for assistance. Copilot Vision access in Edge has expanded to all free users in the U.S., enabling the AI to scan, analyze, and provide insights from webpages. Additionally, the "Think Deeper" reasoning model has been upgraded to OpenAI's o3-mini (high), leading to faster and more flexible responses to complex questions.
Microsoft is also making strides in AI research and security. Microsoft Research has developed a more efficient method for incorporating external knowledge into language models, called KBLaM, which uses vector pairs woven directly into the model's architecture. This system offers faster and more efficient responses by processing knowledge directly within the model. Furthermore, Microsoft is expanding its Security Copilot service with new AI agents designed to help IT teams manage increasing security threats, with 11 agents being added in an April preview, designed to improve security outcomes at machine speed and scale. Recommended read:
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stclarke@Source
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Source Asia
, The Microsoft Cloud Blog
Microsoft is focusing on integrating AI to enhance business productivity, showcasing real-world transformations across industries. Estée Lauder is partnering with Microsoft to reimagine trend forecasting and consumer marketing using AI. They are building a generative AI ecosystem with Copilot Studio, Azure OpenAI Service, and Azure AI Search. This will enable them to gather data, identify trends, build marketing assets, and inform research more efficiently.
Estée Lauder, with almost 80 years of consumer data, will use ConsumerIQ, an agent built in Copilot Studio, to put consumer data at employees' fingertips. This enables the company to rapidly respond to consumer tastes. A marketing director can use natural language prompts to ask ConsumerIQ to find needed information, saving time. Estée Lauder aims to become leaner, faster, and more agile with AI. Generative AI could generate $9 billion to $10 billion in the beauty industry worldwide. Recommended read:
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stclarke@Source
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Microsoft is aggressively expanding its AI capabilities across its product ecosystem, with a strong focus on user empowerment and innovative applications. Copilot is now designed to understand the full context of online activity, with user permission, enhancing the browsing experience by offering real-time insights and assistance within Microsoft Edge. This new feature, Copilot Vision, allows the AI to scan, analyze, and offer insights based on what it sees on a webpage, akin to having a second pair of eyes while browsing.
Microsoft is also making strides in AI-driven content creation and utility. Microsoft Muse can design video games based on individual playing styles. Furthermore, to address the limitations of processing long-context sequences in large language models (LLMs), Microsoft AI has released LongRoPE2. This method extends the context window of LLMs to 128K tokens while retaining over 97% short-context accuracy. This advancement promises to improve performance in applications like document analysis and long-form reasoning, where extended context is crucial. Recommended read:
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