News from the AI & ML world
DeeperML - #education
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Joe Green@AI News
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The United Arab Emirates is set to integrate Artificial Intelligence (AI) education into its school curricula, making it mandatory for all students from kindergarten through grade 12. This nationwide initiative aims to equip Emirati youth with essential AI skills from an early age, preparing them for a future increasingly driven by technology. The initiative is part of the country's broader National Artificial Intelligence Strategy 2031, positioning the UAE as a global leader in AI capabilities and digital innovation. The goal is to diversify the UAE’s economy from its core basis of oil production and sale.
The new AI curriculum will be age-appropriate and structured around seven key learning areas. These areas include foundational concepts such as understanding what AI is, data and algorithms, software applications, and ethical awareness. Students will also explore real-world AI applications and engage in innovation and project design, fostering creativity and practical skills. The curriculum will be incorporated into the standard school timetable, ensuring that all students have access to AI education as part of their core learning experience. The UAE Prime Minister Sheikh Mohammed bin Rashid Al Maktoum emphasized the importance of teaching children a deep understanding of AI from a technical perspective, while also fostering their awareness of the ethics of this new technology. This initiative reflects the UAE's commitment to equipping its children for a future with conditions different from today. As part of this broader strategy, the UAE is also investing in research and development, with institutions like the American University of Sharjah and United Arab Emirates University committed to the technology’s use in the higher and postgraduate sectors, with a significant AI investment fund expected to grow in the coming years. Recommended read:
References :
@the-decoder.com
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Google is enhancing its AI capabilities across several platforms. NotebookLM, the AI-powered research tool, is expanding its "Audio Overviews" feature to approximately 75 languages, including less common ones such as Icelandic, Basque, and Latin. This enhancement will enable users worldwide to listen to AI-generated summaries of documents, web pages, and YouTube transcripts, making research more accessible. The audio for each language is generated by AI agents using metaprompting, with the Gemini 2.5 Pro language model as the underlying system, moving towards audio production technology based entirely on Gemini’s multimodality.
These Audio Overviews are designed to distill a mix of documents into a scripted conversation between two synthetic hosts. Users can direct the tone and depth through prompts, and then download an MP3 or keep playback within the notebook. This expansion rebuilds the speech stack and language detection while maintaining a one-click flow. Early testers have reported that multilingual voices make long reading lists easier to digest and provide an alternative channel for blind or low-vision audiences. In addition to NotebookLM enhancements, Google Gemini is receiving AI-assisted image editing capabilities. Users will be able to modify backgrounds, swap objects, and make other adjustments to both AI-generated and personal photos directly within the chat interface. These editing tools are being introduced gradually for users on web and mobile devices, supporting over 45 languages in most countries. To access the new features on your phone, users will need the latest version of the Gemini app. Recommended read:
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Noor Al-Sibai@futurism.com
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Duolingo, the popular language-learning application, is shifting to an "AI-first" model, initiating a restructuring of its operations to focus on generative AI for content creation and process automation. This move includes a gradual reduction in reliance on contractors, with AI taking over tasks where possible. CEO Luis von Ahn conveyed this strategic shift in an internal memo, emphasizing the need to proactively respond to technological changes, similar to the company’s successful early adoption of a "mobile first" strategy in 2012. He noted that AI is already transforming how work is accomplished within the company.
The primary objective of this transition is to accelerate content delivery and increase its scale. Duolingo views manual content creation as no longer viable for meeting its needs, emphasizing that replacing slow, manual processes with AI-driven solutions is key to providing the desired amount of content for learners in a fraction of the time. Von Ahn stated that without AI, producing new materials would take decades, and that AI integration will also support new features, including video calls. He made sure to note that one of the best decisions the company made recently was replacing a slow, manual content creation process with one powered by AI. Following the announcement of its "AI-first" strategy, Duolingo launched 148 new language courses created with generative AI. CEO Luis von Ahn stated the company was able to develop more courses in less than a year than it had in the previous twelve years combined. The expansion primarily focuses on making seven popular non-English languages – Spanish, French, German, Italian, Japanese, Korean, and Mandarin – available across all 28 of Duolingo's supported interface languages, aiming to dramatically expand access for speakers of languages that previously had limited learning options, particularly in Asia and Latin America. Recommended read:
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@techradar.com
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Google has officially launched its AI-powered NotebookLM app on both Android and iOS platforms, expanding the reach of this powerful research tool beyond the web. The app, which leverages AI to summarize and analyze documents, aims to enhance productivity and learning by enabling users to quickly extract key insights from large volumes of text. The release of the mobile app coincides with Google I/O 2025, where further details about the app's features and capabilities are expected to be unveiled. Users can now pre-order the app on both the Google Play Store and Apple App Store, ensuring automatic download upon its full launch on May 20th.
NotebookLM provides users with an AI-powered workspace to collate information from multiple sources, including documents, webpages, and more. The app offers smart summaries and allows users to ask questions about the data, making it a helpful alternative to Google Gemini for focused research tasks. The mobile version of NotebookLM retains most of the web app's features, including the ability to create and browse notebooks, add sources, and engage in conversations with the AI about the content. Users can also utilize the app to generate audio overviews or "podcasts" of their notes, which can be interrupted for follow-up questions. In addition to the mobile app launch, Google has significantly expanded the language support for NotebookLM's "Audio Overviews" feature. Originally available only in English, the AI-generated summaries can now be accessed in approximately 75 languages, including Spanish, French, Hindi, Turkish, Korean, Icelandic, Basque and Latin. This expansion allows researchers, students, and content creators worldwide to benefit from the audio summarization capabilities of NotebookLM, making it easier to digest long reading lists and providing an alternative channel for blind or low-vision users. Recommended read:
References :
Noor Al-Sibai@futurism.com
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Duolingo is making a significant shift to an AI-first model, restructuring its operations to focus on generative AI for content creation and process automation. CEO Luis von Ahn announced plans to gradually reduce the company's reliance on contractors, aiming to automate tasks wherever possible. This transition marks a fundamental cultural shift, with leadership emphasizing the transformative power of AI in reshaping how work is accomplished. This mirrors the company's early adoption of a "mobile-first" strategy in 2012 which led to significant recognition.
This strategic move is driven by the need to deliver app content more quickly and at a greater scale. Duolingo states that manual content creation is no longer viable for meeting the company's needs. Replacing slow, manual processes with AI-driven solutions allows for the faster provision of content for learners. The company reported that AI has enabled them to build more courses in one year than in the previous twelve years combined. A large content expansion was recently launched by the company, releasing 148 new language courses which were all created using generative AI. The implementation of AI extends beyond content creation, with plans to integrate it into hiring processes and employee performance reviews. Teams will be encouraged to prioritize automation before requesting additional resources. CEO Luis von Ahn stated that the changes are not intended to reduce the company's focus on employee well-being, adding that the move is not about replacing employees with AI but removing bottlenecks. Instead, the goal is to empower employees to focus on creativity, accelerating Duolingo's mission to deliver language instruction globally. Recommended read:
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Chris McKay@Maginative
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Anthropic has unveiled Claude for Education, a specialized AI assistant designed to cultivate critical thinking skills in students. Unlike conventional AI tools that simply provide answers, Claude employs a Socratic-based "Learning Mode" that prompts students with guiding questions, encouraging them to engage in deeper reasoning and problem-solving. This innovative approach aims to address concerns about AI potentially hindering intellectual development by promoting shortcut thinking.
Partnerships with Northeastern University, the London School of Economics, and Champlain College will integrate Claude across multiple campuses, reaching tens of thousands of students. These institutions are making a significant investment in AI, betting that it can improve the learning process. Faculty can use Claude to generate rubrics aligned with learning outcomes and create chemistry equations, while administrative staff can analyze enrollment trends and simplify policy documents. These institutions are testing the system across teaching, research, and administrative workflows. Recommended read:
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@medium.com
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References:
medium.com
, medium.com
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AI is making significant strides in revolutionizing math learning and education. AI Math Master is a new mobile app designed to provide students and educators with a tool to solve math problems quickly, offering step-by-step solutions. It covers a range of subjects from basic arithmetic to advanced topics like calculus.
Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system to recognize strengths and weaknesses in mathematics. This system uses a webcam to track eye movements, generating problem-solving hints and enabling teachers to provide more individualized support to students. The AI system analyzes patterns in eye movements displayed on a heatmap to select learning videos and exercises tailored to the pupil. Recommended read:
References :
msaul@mathvoices.ams.org
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Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system designed to provide individualized support for schoolchildren in mathematics. The system utilizes eye-tracking technology via a standard webcam to identify students’ strengths and weaknesses. By monitoring eye movements, the AI can pinpoint areas where students struggle, displaying the data on a heatmap with red indicating frequent focus and green representing areas glanced over briefly.
This AI-driven approach allows teachers to provide more targeted assistance, improving the efficiency and personalization of math education. The software classifies the eye movement patterns and selects appropriate learning videos and exercises for each pupil. Professor Maike Schindler from the University of Cologne, who has collaborated with TUM Professor Achim Lilienthal for ten years, emphasizes that this system is completely new, tracking eye movements, recognizing learning strategies via patterns, offering individual support, and creating automated support reports for teachers. Recommended read:
References :
@phys.org
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References:
phys.org
, www.sciencedaily.com
Researchers at the Technical University of Munich (TUM) and the University of Cologne have developed an AI-based learning system designed to provide individualized support for schoolchildren in mathematics. The system utilizes eye-tracking technology via a standard webcam to identify students’ strengths and weaknesses. By monitoring eye movements, the AI can pinpoint areas where students struggle, displaying the data on a heatmap with red indicating frequent focus and green representing areas glanced over briefly.
This AI-driven approach allows teachers to provide more targeted assistance, improving the efficiency and personalization of math education. The software classifies the eye movement patterns and selects appropriate learning videos and exercises for each pupil. Professor Maike Schindler from the University of Cologne, who has collaborated with TUM Professor Achim Lilienthal for ten years, emphasizes that this system is completely new, tracking eye movements, recognizing learning strategies via patterns, offering individual support, and creating automated support reports for teachers. Recommended read:
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