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EMAQI App Officially Launches: A New Era for AI-Powered Manga Start-Up

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Orange Inc. has launched its new manga app, emaqi, on May 28, 2025, targeting readers in the U.S. and Canada. The app features over 13,000 volumes from major publishers, including VIZ Media and Kodansha, alongside nearly 50 exclusive titles. Emaqi operates as a digital manga bookstore, selling complete volumes à la carte instead of using a subscription model. The app is designed to enhance discovery and personalization through intuitive search tools, marking a unique experience for manga fans.

Backed by ¥2.92 billion (~$20 million) in funding, Orange aims to significantly increase manga localization efforts, claiming that over 95% of Japanese works are unavailable in English. While the company integrates AI in its localization process, it insists that human involvement is critical to maintaining quality. However, the use of AI has sparked controversy among creators and professionals concerned about its impact on traditional translation methods. Despite criticism, Orange remains committed to expanding manga access globally.

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Google Unveils LMEval: An Open-Source Tool for Evaluating Cross-Provider LLMs

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LMEval is a tool designed to help AI researchers and developers compare the performance of various large language models (LLMs) efficiently and accurately. Given the rapid development of new models, LMEval facilitates quick evaluations for safety and security. Its key features include compatibility with numerous LLM providers, incremental benchmark execution to enhance efficiency, and support for multimodal evaluations involving text, images, and code. Utilizing the LiteLLM framework, LMEval allows for consistent benchmarking across different APIs. Written in Python and available on GitHub, users define benchmarks and tasks, such as identifying eye colors in images, before evaluating selected models. The tool also enables result storage in SQLite databases, with encrypted security measures. LMEval includes a dashboard for performance analysis and has been pivotal in creating the Phare LLM Benchmark, assessing LLM safety and reliability. Other frameworks like Harbor Bench and EleutherAI’s LM Evaluation Harness also exist for similar purposes.

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IndiaAI Mission Chooses Soket AI Labs, Gnani.ai, and Gan.ai for Next-Gen LLM Development

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Dr. Anjali Sharma, an AI policy analyst, highlighted India’s strategic move towards technological sovereignty and inclusive growth by supporting startups such as Soket AI Labs, Gnani.ai, and Gan.ai. She emphasized that these innovative models will not only drive the development of new applications but also foster opportunities for research and entrepreneurship. Additionally, they are expected to facilitate global collaboration, further enhancing India’s status in the technology landscape. This approach reflects a commitment to nurturing a robust ecosystem that empowers emerging companies, ultimately contributing to broader economic and technological advancement.

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Unexpected Gmail Update by Google: Implications for Your Privacy

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Gmail has introduced automatic AI summaries for Workspace customers, aimed at enhancing user experience as Gmail evolves. This update, accessible on Android and iOS, utilizes Google’s Gemini AI to automatically generate summaries for relevant email threads, synthesizing key points and keeping summaries up to date with new replies. While privacy concerns have been raised, Google assures that this feature adheres to its strong data protection policies, indicating that interactions are confined within the organization and not shared externally without consent. The update is specifically designed for Google Workspace users, including business and education clients, and allows administrators to adjust settings. Users must enable smart features and personalization in Gmail to utilize this new function. With nearly 2 billion users, Gmail continues to innovate through AI technology to maintain its leading position in the email market while ensuring user privacy and security remain priorities.

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Do AI Tools Undermine Developer Skills? Exploring the Impact of AI Applications

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Artificial intelligence (AI) is swiftly transforming the software industry, with tools like ChatGPT and GitHub Copilot aiding developers in coding, debugging, and offering suggestions. Although these AI applications boost productivity and expedite software development, companies express concern over their impact on developer skills. Despite the advantages of AI, employers expect developers to possess strong foundational knowledge, including proficiency in data structures, system design, independent debugging, and effective communication. Many candidates, however, struggle with articulating their coding logic and effectively collaborating in teams, leading to a skills gap that concerns employers. Companies also recognize the risks associated with AI, such as potential bugs in AI-generated code and reduced creativity. To thrive, developers should focus on deepening their technical expertise, reviewing AI-generated code critically, and using AI as a supportive tool rather than a substitute for critical thinking. Balancing AI integration with core skills will drive future innovation in software development.

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Google Unveils New App for Downloading and Running AI Models Locally

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Google has launched the Google AI Edge Gallery app, enabling users to run various AI models from Hugging Face on Android devices, with an iOS version to follow. This app allows for offline access to capabilities like image generation, question answering, and code editing, utilizing users’ phone processors. While cloud-based AI models are typically more powerful, the app addresses data privacy concerns by enabling offline use. The experimental app features a user-friendly interface with shortcuts for tasks such as “Ask Image” and “AI Chat” and includes a “Prompt Lab” for single-turn tasks, offering templates and settings for customization. Performance may vary based on device hardware and model size, with larger models requiring more processing time. Google encourages developer feedback, and the app is available under an Apache 2.0 license, allowing broad usage without restrictions.

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Google Unveils New App for Local Download and Execution of AI Models

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Google recently launched the Google AI Edge Gallery app, allowing users to run various AI models from Hugging Face on their Android devices, with an iOS version forthcoming. This app enables offline functionality for tasks like image generation, question-answering, and code writing, tapping into smartphone processors. While cloud-based AI models are often more robust, they raise concerns about data privacy and internet dependency. The app features a user-friendly interface, showcasing shortcuts to tasks such as “Ask Image” and “AI Chat.” Users can explore different models suited for each capability, including Google’s Gemma 3n, and utilize a “Prompt Lab” to initiate tasks like summarizing text. Performance varies based on device hardware and model size. Google invites developer feedback on this experimental Alpha release, which is available on GitHub under an Apache 2.0 license, permitting broad usage.

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I Transformed My Photos into Short Videos Using AI on Honor’s Latest Phones—Here’s What Happened!

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The Honor 400 and 400 Pro, midrange phones not available in the US, feature Google’s innovative image-to-video AI generator, part of the Veo 2 model. Integrated into Honor’s Gallery app, this tool converts still images into five-second videos, allowing users to breathe life into their photos. The results can be both impressive and unsettling, showcasing the dual edge of AI technology in photography. Users select a photo, adjust the aspect ratio, and the AI generates a video, often within 30 seconds. However, the outcomes can be hit or miss; while some animations impress, others fall into the “uncanny valley” realm, distorting features in unnatural ways. This blend of creativity and eeriness raises questions about the authenticity of photography as AI advances to create entirely fabricated videos from still images, pushing the boundaries of what we perceive as real in visual media.

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TSMC to Launch Chip Design Center in Munich, Potentially Boosting AI Development – Reuters

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Taiwan Semiconductor Manufacturing Company (TSMC) is set to establish a chip design center in Munich, Germany. This initiative is part of TSMC’s broader strategy to strengthen its presence in Europe and enhance collaboration with local industries. The facility aims to support the development of advanced semiconductor technologies, which could later extend to artificial intelligence (AI) applications. By fostering partnerships with European companies and research institutions, TSMC plans to facilitate innovation and meet the growing demand for semiconductor solutions in various sectors. The Munich center will serve as a hub for designing chips that could power next-generation technologies. TSMC’s move is significant in the context of increasing geopolitical tensions and the push for greater self-sufficiency in semiconductor manufacturing in Europe. The company’s expansion is expected to contribute to the local economy while reinforcing its leadership in the global semiconductor market.

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JD Cloud and Logistics AI Revolutionize JD.com’s 618 Grand Promotion: A Showcase of Retail Technology Innovation

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JD Cloud has launched five free AI-powered marketing tools for third-party merchants, enhancing its digital representative technology, which supports over 13,000 brands. Additionally, its AI merchant service platform, Jingxiaozhi 5.0, now caters to over 900,000 merchants. Meanwhile, JD Logistics has implemented its largest technology roll-out to improve delivery systems across more than 400 cities, utilizing goods-to-person systems, autonomous vehicles, and smart sorting technologies.

In conjunction with these developments, the RTIH Innovation Awards has introduced the RTIH AI in Retail Awards, acknowledging the transformative impact of AI in retail. The awards aim to recognize companies effectively integrating AI into everyday processes by 2025, with a goal of boosting efficiency and innovation. The winners will be announced during a ceremony on September 3rd at The Barbican in London, following a drinks reception and a three-course meal, with critical dates for entries and announcements set for the summer.

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