A precision medicine decision support system powered by a large language model (LLM) has been launched at Seoul National University Hospital. This innovative system aims to enhance clinical decision-making by providing tailored medical recommendations based on patient data and treatment guidelines. The LLM analyzes vast datasets, including clinical literature and patient records, to deliver insights that can improve diagnosis, treatment options, and overall patient outcomes. By integrating advanced AI technology with healthcare practices, the system supports healthcare professionals in crafting personalized care strategies. The implementation marks a significant step in the use of artificial intelligence in healthcare, promoting more effective and individualized approaches to patient management in the rapidly evolving landscape of medical science. This initiative underscores the hospital’s commitment to leading advancements in medical technology and improving patient care through data-driven insights.
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Seoul National University Hospital Launches LLM-Powered Precision Medicine Decision Support System – Healthcare IT News
The Trade Desk Launches AI Tool to Enhance Performance of Struggling Digital Ad Campaigns
The Trade Desk has unveiled ‘Deal Desk,’ a new feature within its Kokai platform aimed at enhancing the efficiency and transparency of direct deals between advertisers and publishers. Recognizing that many programmatic advertising agreements underperform due to a lack of insight into impression quality and pacing, Deal Desk utilizes artificial intelligence to provide detailed performance metrics and alternative inventory options for both parties. Key features include Deal Quality Scores for advertisers, tools for publishers to manage deal terms, automated prioritization for deal activation, and flexible terms for adapting to delivery challenges. Disney is one of the first to adopt this platform for private marketplace transactions, emphasizing the importance of tools that enhance buyer efficiency. The Trade Desk plans to initiate beta testing for Deal Desk in the third quarter of 2025, with the goal of advancing relationships between advertisers and premium publishers while addressing supply chain challenges in digital advertising.
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“Empowering Education: Microsoft’s Discreet Integration of AI in Indian Classrooms through Innovative Tools and Collaborations” – Moneycontrol
Microsoft is making significant strides in integrating AI into Indian classrooms by developing practical tools and forming partnerships with educational institutions. The tech giant is collaborating with various organizations to create resources that enhance learning experiences. Initiatives include AI-driven applications that assist teachers in delivering personalized education and assessment tools that streamline student performance tracking. Microsoft’s focus is not only on technology deployment but also on training educators to effectively use these tools, ensuring they can harness the full potential of AI in teaching. This approach aims to bridge educational gaps and provide students with skills relevant to the future job market. By fostering an ecosystem of innovation, Microsoft is positioning itself as a pivotal player in the transformation of India’s education sector, enhancing learning outcomes and accessibility for students across various socioeconomic backgrounds.
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Enhancements to Apple’s On-Device and Server-Based Language Models
At the 2025 Worldwide Developers Conference, Apple unveiled advancements in Apple Intelligence, integrating generative AI into everyday applications while emphasizing user privacy. Key features include new language models designed for efficient performance on Apple silicon and a Foundation Models framework allowing developers to leverage an on-device model with over 3 billion parameters. These models support 15 languages and exemplify enhanced reasoning, tool-use, and image-text understanding capabilities. Optimizations such as quantization and innovative architectures improve efficiency, while training utilizes a diverse data set that avoids personal user data. Apple also stresses Responsible AI principles, aiming to represent diverse users and mitigate potential biases. Evaluations showed favorable performance compared to competitors in both text and image tasks. With a focus on privacy and continuous improvement, Apple enables easier AI integration for developers, paving the way for impactful features across various applications globally.
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Apple Showcases AI Innovations in Apps, Leaving Out Siri
At WWDC 2025, Apple showcased a range of AI features under “Apple Intelligence,” enhancing apps like Messages and Mail with smart summaries and image generation. However, there was a notable absence: Siri, which Apple had positioned as the future of interaction. Instead of announcing significant upgrades as promised in 2024, Siri was merely mentioned, reflecting disappointment given its past prominence. Other companies, such as Google and Microsoft, are advancing their AI assistants, while Apple appears stagnant, even allowing users to query ChatGPT instead of relying on Siri. The new AI features, while useful, felt fragmented, lacking a cohesive interface and relying on embedded intelligence rather than dialog. Apple’s marketing emphasis on AI contrasts with Siri’s underwhelming capabilities, leading to questions about its future viability. Ultimately, the event highlighted Apple’s struggle to evolve Siri amid growing competition and expectations in the AI landscape.
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Apptechies Unveils Revolutionary AI-Driven Taxi Booking App
Apptechies, a leading US mobile app development company, is revolutionizing the ride-hailing industry with AI-powered taxi app solutions aimed at improving efficiency, safety, and profitability for taxi businesses and rideshare platforms. Their on-demand taxi booking app features advanced AI integration for real-time route optimization, reducing wait times and enhancing booking experiences. The app’s algorithms help predict rider demand, enabling drivers to maximize earnings while offering quicker, reliable rides. CEO Mr. AJ highlights the goal of empowering taxi businesses with smarter technologies. Key features include smart dispatch systems, seamless UX/UI design, scalability for various business sizes, and real-time analytics. Founded in 2018, Apptechies has successfully completed over 1,500 projects across diverse sectors with a team of 250+ experts. They specialize in bespoke mobile apps, AI-driven solutions, and scalable software, providing tailored solutions for the modern mobility landscape.
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Apple Intelligence Unleashed: Enhanced Features Across All Devices
On June 9, 2025, Apple announced enhanced capabilities for its Apple Intelligence across various devices, including iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro. Key features include Live Translation for seamless multilingual communication in Messages, FaceTime, and phone calls; advanced creative tools like Genmoji and Image Playground for personalized expressions; and visual intelligence, enabling users to interact with and act upon on-screen content. Developers can now access an on-device foundation model, which offers privacy-focused, fast, offline capabilities to enhance app experiences. Other updates include smart shortcuts, personalized fitness insights through the Workout Buddy feature on Apple Watch, and other integrations that streamline everyday tasks. The rollout of these features begins with testing now and will be available to users in supported languages this fall, with additional languages to come later in the year. Apple emphasizes privacy, with many functionalities processed on-device to protect user data.
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Large Language Models Lacking Grounding Retain Non-Sensorimotor Aspects of Human Concepts, but Struggle with Sensorimotor Features
The study examines the collection of data from large language models (LLMs) and human participants, adhering to ethical guidelines from the British Psychological Society and obtaining necessary approvals from Lancaster University. It employs the Glasgow and Lancaster Norms to establish psycholinguistic metrics for English words across various dimensions, focusing on emotional and sensory experiences. The Glasgow Norms, based on 829 participants, include ratings for 5,553 words across nine dimensions, while the Lancaster Norms, from 3,500 participants, encompass sensory and motor dimensions for approximately 40,000 words. The research involves testing multiple LLMs, including GPT-3.5, GPT-4, and Google’s models, using standardized procedures to yield consistent ratings. Extensive analyses, including pairwise correlations and representational similarity analyses (RSA), compare human and model responses. Results support the validity of both norms and emphasize how LLMs reflect collective human conceptual representations. Statistical methodologies ensure robust analyses while mitigating potential biases.
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“How to Regulate Your Company’s AI Usage: A Guide for Responsible Management” – The Times
To prevent AI from getting out of control in your company, implement a structured approach that includes clear guidelines, oversight, and accountability. Start by establishing a dedicated AI governance team that understands the technology and its implications. Develop comprehensive policies that outline appropriate AI use and ethical considerations. Regular training for employees on AI risks and responsible practices is essential. Monitor AI systems continuously to assess their impact, address biases, and ensure compliance with regulations. Encourage a culture of transparency where employees feel comfortable reporting concerns about AI developments. Additionally, collaborate with external experts to stay informed on industry best practices and evolving legislative frameworks. By fostering a proactive and informed approach, you can harness the benefits of AI while mitigating potential risks associated with uncontrolled deployment.
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Google Introduces ‘Scheduled Actions’ Feature in Gemini for AI Pro and Ultra Users
Users can manage tasks assigned to the Gemini assistant through the scheduled actions page in settings, as stated by Google. This feature is available to AI Pro and Ultra subscribers, as well as certain Google Workspace business and education plans. Similarly, ChatGPT has introduced a scheduling functionality, allowing users to automate prompts for regular tasks and proactively communicate on a set schedule. However, ChatGPT limits users to 10 active tasks at a time; new tasks cannot be created until existing ones are paused, deleted, or completed. Other competitors in the AI space are also developing comparable features, emphasizing the goal of integrating AI assistants into users’ daily lives more efficiently.
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