Hub AI in practice

Artificial Intelligence is present in everyday life – from “googling” to facial recognition to vacuum cleaner robots. AI tools are becoming more and more elaborate and support people and companies more effectively in their tasks, such as generating graphics, texting or coding, or interpreting large amounts of data.

What AI tools are there, how do they work, how do they help in our everyday world – and how do they change our lives? These are the questions we address in our Content Hub Artificial Intelligence in Practice.

AI in practice
Update

OpenAI's largest model GPT-4.5 is now available for ChatGPT Plus

AI in practice

Anthropic launches Claude 3.7 Sonnet hybrid AI model and Claude Code programming tool

AI in practice

Anthropic CEO expects major AI breakthrough, plans to launch "virtual collaborators"

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AI in practice
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Cohere has introduced Embed 4, a multimodal language model designed for semantic search across complex enterprise documents. The model can process a wide range of content types—including text, images, tables, charts, code, and handwritten scans—commonly found in financial reports, medical records, and industrial documentation. Embed 4 supports files up to 128,000 tokens, or approximately 200 pages, and is compatible with over 100 languages, including Arabic, French, and Japanese. According to Cohere, the model is intended for organizations building language model-powered assistants that require access to internal knowledge. The model can be deployed either on-premises or in a private cloud environment, a configuration aimed at sectors with strict data sensitivity requirements, such as healthcare and manufacturing. Cohere says Embed 4 is now available through its own platform, as well as via Microsoft Azure AI Foundry and Amazon SageMaker.

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AI in practice
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Apple is rolling out a new system that processes user data directly on devices in an effort to enhance its AI capabilities while maintaining privacy standards. Starting with beta versions of iOS and iPadOS 18.5 and macOS 15.5, the company will begin comparing synthetic data with real-world examples—such as emails from the Mail app—without storing this content or using it for model training. The approach is designed to address existing weaknesses in Apple’s AI systems without compromising user privacy. It builds on the company's emphasis on local processing and aligns with its broader privacy strategy. Improvements enabled by the system include more accurate notification summaries, better text input features, and expanded image-generation capabilities such as Genmoji. The system is only active for users who have opted into device analytics. The move comes as Apple works to close the gap with competitors like OpenAI and Google, both of which have made more visible progress in generative AI.

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Alibaba’s Quark AI Assistant became the most used AI app in China in March, according to data from Aicpb.com. The app reached approximately 150 million monthly active users worldwide, overtaking ByteDance’s Doubao, which had 100 million, and DeepSeek with 77 million. These figures are based on App Store data and do not include website usage. Quark’s rise follows its recent transformation from a cloud storage and search service into an AI assistant. The update, introduced last month, is powered by Alibaba’s Qwen models. The app now supports a range of AI functions, including text and image generation, research assistance, and programming tasks. Other major Chinese tech firms are also expanding their AI offerings. ByteDance is currently testing new video features for Doubao, while Tencent has integrated its Yuanbao assistant into WeChat. A global ranking by Andreessen Horowitz recently placed Quark sixth among the world’s most popular AI apps, behind Baidu’s AI Search and OpenAI’s ChatGPT, which remains in the top position.

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Google has launched Firebase Studio, a new cloud-based development environment that puts AI at the center of app creation. The platform expands Firebase's existing toolkit by adding AI workspaces where developers can build complete applications, from mobile apps to websites, using conversational AI. Firebase Studio connects various services, platforms, and interfaces to automatically generate multiple components: user interfaces, backend systems, frontend code, mobile applications, API schemas, and data connections - along with the underlying program logic. Beyond offering a traditional code editor, Firebase Studio includes a prototype agent that developers can control entirely through natural language or visual inputs like diagrams and UI sketches. The system then constructs applications independently based on these specifications.

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AI in practice

OpenAI launches GPT-4.1: New model family to improve agents, long contexts and coding

AI research

Meta Neuroscientist King: "Some of the concepts like reasoning may need to be re-evaluated"

AI and society

OpenAI wants Europe to build the infrastructure it needs to profit from European markets

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