At WWDC 2025, Apple announced its Live Translation feature for Messages, FaceTime, and Phone calls, leveraging Apple Intelligence to provide real-time language translation. Leslie Ikemoto, Apple’s director of input experience, emphasized that the translation models operate directly on devices, ensuring user privacy. In Messages, translations occur automatically, adapting to users’ preferred languages in both sent and received texts. FaceTime will display live captions, while phone calls allow spoken translations during conversations, enabling seamless dialogue even between non-Apple users. Respondents’ replies are also translated audibly for the caller. Additionally, developers can integrate this functionality into their apps through a new API. However, Apple has not disclosed the number of languages available for this feature.
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Apple Unveils Live Translation for Messages, FaceTime, and Phone at WWDC 25
Google Unveils Nine Exciting New Features in Home App Soft Launch
Google has unveiled significant updates to its Home app, currently in public preview. Notably, Nest Cam users can now utilize picture-in-picture support on Google TV, providing a seamless view of camera feeds on their TV screens. Additionally, the Gemini AI platform has expanded smart home controls, allowing users to broadcast commands through speakers and search camera footage via typed queries. Users can also navigate recorded footage with a double-tap feature. Customization improvements include streamlined automations based on presence sensing and Nest Protect monitoring integrated into the Home app. The app now supports third-party Matter-enabled smart locks for enhanced access management. Users can pin more types of favorites, like temperature dashboards and light controls, and manage their devices across multiple platforms, including web access for basic functions. Lastly, the Home Summary widget is now available for testing on Pixel phones, further enhancing usability.
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Alphabet-Backed Iyo Files Trademark Lawsuit Against Jony Ive, Sam Altman, and OpenAI – The Business Journals
Iyo, a company backed by Alphabet, has filed a lawsuit against Jony Ive, Sam Altman, and OpenAI over a trademark dispute. The lawsuit centers on claims that the defendants infringed on Iyo’s trademarks, potentially causing confusion in the marketplace. Iyo argues that the actions of the high-profile individuals and their affiliated organizations could harm its brand identity and business. The case highlights the complexities of intellectual property rights, particularly in the tech industry where innovation and brand recognition are crucial. The outcome of the lawsuit could have significant implications for both parties involved, influencing how trademarks are protected and enforced in the rapidly evolving tech landscape. As the situation develops, it may draw attention from industry observers and stakeholders about the importance of maintaining distinct branding in a crowded and competitive market.
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Burson Develops AI Tool to Measure How Reputation Influences Business Performance – PRovoke Media
Burson has developed an innovative AI tool designed to measure the influence of reputation on business outcomes. This tool leverages advanced algorithms to analyze data, helping organizations understand how their public image correlates with key performance indicators such as sales and customer loyalty. By quantifying the impact of reputation, companies can make informed decisions about their communication strategies and brand positioning. This pioneering technology aims to bridge the gap between reputational management and measurable business results, enabling brands to strategically enhance their public perception. As firms increasingly recognize the significance of reputation in today’s competitive landscape, Burson’s tool provides a valuable resource for optimizing brand strategies and driving growth. This initiative highlights the merging of AI and public relations, showcasing how technological advancements can enhance traditional practices in the business sphere.
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Harnessing Large Language Models for Urban Planning Innovation
The collection of articles highlights critical insights into the integration of artificial intelligence (AI) in urban planning and smart city development. Batty’s work emphasizes AI’s transformative potential for cities, while Marasinghe et al. systematically review computer vision applications, identifying both opportunities and constraints. Historical perspectives by Berry and Jacobs inform contemporary practices, pointing to the systemic nature of urban environments. Future-oriented discussions surrounding planning support systems and digital twins underscore the necessity for cohesive, integrated approaches to urban planning, as noted by Cejudo and others. Recent studies explore the ethical implications of AI in planning, as well as its capacity to enhance citizen engagement through natural language processing. Overall, the synthesis of these insights reveals a rapidly evolving landscape in urban planning, driven by technological advancements, fostering resilience and smart city frameworks while addressing historical challenges and ethical dilemmas.
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Exploring Reasoning, Tool Utilization, and Autonomous Systems in Legal Language Models
Domain-specific AI is revolutionizing legal workflows by enhancing efficiency and accuracy. With a significant 89% of legal professionals recognizing its potential, generative AI (GenAI) tools, especially large language models (LLMs) tailored for legal use, are becoming essential for legal practices. These specialized models are trained on legal-specific datasets, enabling precise legal reasoning and reducing the risk of misinformation common in general models. Innovations like agentic AI allow LLMs to autonomously analyze data, improving decision-making in legal contexts. Additionally, these AI capabilities can predict court outcomes and streamline contract drafting, helping lawyers assess risks and create robust legal documents. Trust in AI technology hinges on understanding its sources and methodologies, with organizations like Thomson Reuters leading the way by integrating expertise and collaborating with top AI vendors. As a result, over 17,000 U.S. law firms and the federal court system are leveraging AI tools like CoCounsel, marking a significant shift in the legal profession.
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OpenAI Unveils O3-Pro Model for Critical High-Stakes Applications – Investing.com
OpenAI has announced the launch of its o3-pro model, specifically designed for high-stakes tasks that demand enhanced performance and reliability. This advanced model aims to optimize decision-making processes in various critical applications, including finance, healthcare, and more. By leveraging improved algorithms and extensive training data, the o3-pro demonstrates superior accuracy and contextual understanding compared to its predecessors. OpenAI emphasizes the importance of responsible deployment, ensuring that the model adheres to ethical guidelines and mitigates potential risks associated with AI use in sensitive areas. The model is expected to support professionals in making informed decisions, thus increasing efficiency and effectiveness in their respective fields. Enhanced safety features and user-friendly interfaces are also part of the package, making it easier for users to engage with the model. Overall, the o3-pro represents a significant step forward in AI technology tailored for critical, high-impact environments.
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N.W.T. Government Formulates Policy for the Responsible Use of Increasingly Accessible AI Tools
The N.W.T. government is developing a policy for artificial intelligence (AI) use, with preliminary guidelines due by the end of the month. Current government workers follow federal AI guidelines while the territory aims to create its own framework. The policy recognizes AI’s potential for automating administrative processes and data analysis but stresses the need for careful human oversight, especially concerning sensitive information. The Law Society of the Northwest Territories issued guidelines for lawyers on using AI, emphasizing transparency and content accuracy to avoid bias. Meanwhile, local businesses are exploring AI adoption, with a Statistics Canada survey indicating that about 12 out of 146 respondents plan to integrate AI within a year. Consultant Natsai Musarurwa shares her transformative experiences with AI, highlighting significant time savings in her work. Experts advocate for collaboration between governments and research institutions to ensure ethical and effective AI use in the public sector.
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Revitalizing Urban Spaces: A Stable Diffusion Model Framework for Automated Historical Facade Preservation
The study details the training of six LoRA models designed to generate arcade facade images using a dataset and the v1-5-pruned.safetensors base model, optimized for fine-tuning on an NVIDIA GeForce RTX 3090. Key parameters like batch size, learning rate, and optimizer were optimized, and loss values monitored for performance assessment. Results indicated that models like ArcadeFacadeV2.3 excelled in accurately reflecting traditional styles and semantics, vital for urban historical district renewal. Using metrics such as the Frechet Inception Distance (FID) and CLIP scores, the models were evaluated quantitatively and qualitatively, confirming their capacity for producing high-quality, contextually relevant images. Expert assessments emphasized design authenticity, while comparisons with existing methods (e.g., Pix2pix, CycleGAN) illustrated superior performance in texture and structural detail. The framework, emphasizing both precision and creative design flexibility, showcases its potential for aiding architectural preservation and urban renewal efforts through advanced parametric approaches.
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Apple Introduces Cohesive Design Language and Integrated AI Tools for Developers at WWDC – TechRepublic
At WWDC, Apple introduced a unified design language to streamline the development experience across its platforms. This new approach aims to create a consistent user interface that enhances functionality and aesthetics across iOS, macOS, watchOS, and tvOS. Alongside this, Apple unveiled built-in AI tools that empower developers to integrate machine learning capabilities into their apps more easily. The tools include features for natural language processing and image recognition, enabling more intuitive and responsive applications. These advancements reflect Apple’s commitment to enhancing developer tools and improving user experiences through innovative technologies. Overall, the announcements signify a strategic move towards greater cohesion in the Apple ecosystem and provide developers with powerful resources to create sophisticated applications.
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