Last week, Google launched the Google AI Edge Gallery app for Android, enabling users to run various open AI models from Hugging Face locally on their phones, with an iOS version expected soon. The app allows users to search, download, and execute models for tasks like image generation, question answering, and code writing without needing an internet connection. This offline capability addresses privacy concerns and accessibility issues. Currently in an experimental alpha version, it can be downloaded from GitHub and features shortcuts for tasks such as image analysis and chatting. A “Prompt Lab” within the app offers templates and adjustable parameters for customizing model behavior. Performance can vary based on the phone’s hardware and model size. Google encourages developers to share their feedback, and the app is licensed under Apache 2.0, allowing for broad use, including commercial applications.
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Revolutionary New Google App Enables Offline AI Experience on Smartphones
Samsung Galaxy S26 Series Set to Feature Perplexity App Amidst Major AI Partnership Talks
Samsung and Perplexity are reportedly finalizing a significant AI deal, which will see the Perplexity app preinstalled on future Samsung devices, starting with the Galaxy S26 series. This innovative move may also include integrating Perplexity’s AI assistant, web browser, and capabilities with Samsung’s Bixby. Discussions between the two companies have been ongoing since April, and the partnership may also lead to the development of an AI-powered operating system and app for creating AI agents that can interact with various AI assistants.
Additionally, Samsung is considering investing in Perplexity’s upcoming funding round, which aims to raise $500 million at a valuation of $14 billion. An announcement regarding the deal could come as soon as this year, with the Perplexity app expected to debut in devices slated for release in early 2026. However, these developments are still subject to change as negotiations continue.
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Empower Your Marketing Strategy: Harness AI and Generative AI for Growth—Join Us Today and Lead with Confidence!
AI is revolutionizing marketing and shaping job dynamics, with the World Economic Forum’s Future of Jobs Report 2025 predicting a net gain of 78 million jobs as 170 million new roles arise. To adapt to this transformation, professionals must develop new skills, particularly in AI tools for strategic decision-making. IIM Calcutta’s program, “Strategic Marketing for Leaders: Leveraging AI for Growth,” addresses this need by integrating traditional marketing principles with cutting-edge AI applications, including Generative AI and predictive analytics. Participants will engage in hands-on learning through real-world case studies and simulations, enhancing their marketing expertise and decision-making capabilities. The program is taught by renowned faculty and includes opportunities for networking. Starting June 30, 2025, this 18-week course is aimed at mid-senior professionals, equipping them to lead AI-driven strategies within their organizations. Graduates receive a prestigious certificate from IIM Calcutta, reflecting their enhanced skill set and industry readiness.
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2025 Review of Google Gemini: Insights from PCMag UK
Google Gemini is an advanced AI model poised to enhance various applications, showcasing impressive performance across multiple tasks. The review highlights its capabilities in natural language understanding, image processing, and problem-solving, making it a versatile tool for developers and businesses. The model’s strength lies in its multimodal approach, combining text and visual data seamlessly.
Google Gemini excels in generating coherent, context-aware responses, which significantly benefits content creation and customer interactions. Its user-friendly interface is designed for easy integration, allowing businesses of all sizes to adopt AI solutions without extensive technical expertise. Furthermore, the model is noted for its accuracy and efficiency, reducing operational costs while improving output quality.
Overall, PCMag UK’s review suggests that Google Gemini sets a new standard in AI development, appealing to various sectors by offering innovative features that enhance productivity and engagement. As it continues to evolve, it has the potential to reshape how we interact with technology.
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AI: Transforming and Disrupting the Digital Landscape – Axios
AI is fundamentally transforming the internet by reshaping how content is created, consumed, and distributed. Tools powered by artificial intelligence are enabling unprecedented levels of personalization, helping websites tailor experiences to individual users’ preferences. However, this evolution also poses significant challenges, including the potential for misinformation and the erosion of traditional content creation standards. As AI-generated content becomes more prevalent, concerns over authenticity and trustworthiness are growing. Additionally, the use of AI in advertising and marketing raises ethical questions about data privacy and user manipulation. While AI can enhance user engagement and streamline processes, it also disrupts established norms, prompting a reevaluation of regulatory frameworks and the responsibilities of tech companies. As the web adapts to these changes, a balance between innovation and ethical considerations will be crucial in shaping the future of online interactions.
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Enhance Your Productivity with These Free AI Tools – Hindustan Times
The Hindustan Times highlights various free AI tools that can enhance productivity across different tasks. Tools such as notebook applications, virtual assistants, and content generation software enable users to streamline their work processes. AI-driven features like automatic summarization, scheduling assistance, and data organization can help save time and improve focus. Additionally, collaborative platforms utilizing AI facilitate teamwork by enhancing communication and project management. Overall, leveraging these technologies can significantly boost efficiency, allowing individuals and teams to accomplish more in less time while maintaining quality. Embracing these innovative solutions can lead to smarter working habits and increased output, making them valuable resources in today’s fast-paced environment.
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Intercom Enhances AI Agents’ Performance with New Analytics Tools
Des Traynor, co-founder of Intercom, discussed the transformative impact of AI on customer service at the launch of Fin Insights, part of Intercom’s AI analytics tools. While AI reduces workload by automating responses—such as with Fin AI Agent handling 70% of queries—it also empowers human agents by providing insights through Fin Insights. This functionality analyzes agent responses, identifies gaps in documentation, and generates suggestions for improvement. Notably, it enhances customer satisfaction analysis by transitioning from flawed survey-based CSAT metrics to a comprehensive CX score that accounts for sentiment and resolution effectiveness. Traynor anticipates that AI will change CS roles, creating opportunities for specialized positions focused on managing AI agents and addressing complex issues. While some jobs may be lost, there are prospects for staff to take on new, value-added roles. Overall, the integration of AI fosters continuous improvement in customer service strategies and processes.
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Khanmigo Now Accessible via Canvas: Exciting News for AI Tool Users
The Khanmigo Teacher Tools, developed by the non-profit behind Khan Academy in partnership with Microsoft, is a new AI-powered assistant tailored for educators. Integrated within Canvas, this tool is designed to enhance personalized learning experiences and alleviate teachers’ workloads. Available for free to all U.S.-based K-12 and higher education educators, Khanmigo aids in lesson planning, rubric creation, and automating routine tasks, thereby allowing for more efficient management of teaching responsibilities. It promotes differentiated instruction by assisting in the customization of student assignments and generating innovative lesson ideas. The tool also facilitates content creation, such as warm-up activities and exit ticket questions. Accessible online training is provided for faculty and staff, estimated to take 20-30 minutes. With an emphasis on safety and learning, Khanmigo integrates seamlessly with Khan Academy’s extensive content library, aiming to elevate AI-powered education through leading educational expertise.
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AI Tool Seeks to Anticipate Hunger in Kenya’s Drought-Stricken Areas
Esther Mulu, a 69-year-old farmer in drought-stricken Kitui County, Kenya, struggles to feed her seven children and 25 grandchildren, surviving on just one meal a day. Researchers from the University of California, supported by Microsoft, are developing an AI-driven tool to predict food insecurity months in advance. This innovative tool uses a decade’s worth of data, including satellite imagery and weather patterns, to forecast malnutrition cases 3 to 6 months ahead. Since its early 2023 testing, it has expanded from six to cover all of Kenya, allowing for better resource allocation, particularly for children under five. AMREF’s Samuel Mburu emphasizes the importance of this predictive capacity in saving lives. However, scaling these cloud-based AI solutions poses financial challenges, despite initial funding. Optimistically, the tool aims to empower local health officials to intervene earlier with food packs and medical aid, preventing hunger from reaching crisis levels.
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Exposing LLM Vulnerabilities: Understanding the Jailbreaking Potential of Major Models
The security of large language models (LLMs) extends beyond jailbreaking; these systems were fundamentally flawed in their design. CyberArk Labs has developed Fuzzy AI, which can jailbreak numerous LLMs, exposing vulnerabilities across models like ChatGPT and Claude. The issue transcends simple hacks; if compromised, LLMs can misinterpret instructions, leading to severe consequences, especially in enterprise settings. The divide between academic AI security research and real-world vulnerabilities exacerbates this problem, as rapid AI development often renders academic findings obsolete. Techniques such as “Operation Grandma” exploit this gap, revealing how easily LLMs can be manipulated. As AI evolves toward agentic systems that execute tasks and make decisions, the risks multiply, necessitating robust security measures that are currently lacking. The opaque nature of AI decision-making compounds these risks, making it difficult to detect compromised systems. Overall, LLMs are not designed with security as a priority, creating a critical need for transparency and proactive security measures in AI development.
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