Amazon Simple Email Service (Amazon SES) offers a scalable email solution for businesses to efficiently send personalized, high-volume emails. It serves diverse users, from developers to marketers, providing APIs, SMTP access, and an intuitive web console. To simplify email management, a new solution, the SESv2 MCP Server, has been introduced, allowing users to integrate AI tools for natural language interactions with Amazon SES.

This open protocol enhances AI assistant capabilities, enabling non-experts to use SES functions without deep technical knowledge. The SESv2 MCP Server sample is available on GitHub, encouraging experimentation in non-production environments. Users can send emails, check configurations, and improve deliverability through AI prompts, making SES workflows accessible.

Although currently a development sample using Smithy Java, the SESv2 MCP Server aims to democratize advanced email automation. Feedback from users will shape its evolution toward a stable release, promoting effective, AI-assisted email management in various applications.

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Chinese AI startup Manus has launched a new text-to-video feature enabling users to create structured video stories from simple text prompts within minutes. Currently available to paid subscribers, the feature will soon be accessible to a wider audience. Manus gained attention for its AI agent that handles complex tasks and rapidly rose to prominence after its launch this year, following the success of DeepSeek’s affordable AI model. Its parent company, Butterfly Effect, made headlines in April by securing $75 million in funding from Benchmark Capital, marking a notable US investment in a Chinese AI firm amid geopolitical tensions. As global tech companies race to commercialize video generation capabilities, analysts predict that this emerging sector could significantly impact various industries, including marketing, education, and entertainment.

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Nourish has introduced a suite of AI tools designed to enhance healthcare for both patients and providers. These innovative tools aim to improve patient engagement and streamline communication between healthcare teams. One of the key features is personalized nutritional guidance, enabling patients to receive tailored dietary recommendations based on individual health needs. Additionally, the platform facilitates better data management, allowing providers to track patient progress and outcomes effectively. The new suite is designed to foster a collaborative healthcare environment, empowering patients while equipping providers with the resources needed for better decision-making. By integrating AI technology, Nourish seeks to address common challenges in healthcare delivery, improve experiences, and ultimately enhance patient outcomes. This strategic move positions Nourish at the forefront of digital health solutions, showcasing the potential of AI in transforming traditional healthcare practices into more efficient and patient-centered approaches.

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The guide from MarkTechPost provides a comprehensive, step-by-step approach to creating an iterative AI workflow agent using LangGraph and Gemini. It outlines the fundamental concepts and tools necessary for building an effective agent. The process begins with setting up the environment and installing necessary libraries. The guide then covers the design of the workflow, focusing on iterative development to enhance the AI’s capabilities over time. It emphasizes best practices for integrating LangGraph for processing and Gemini for modeling AI tasks. The document highlights the importance of testing and refining the agent to ensure optimal performance. Code snippets and practical examples are provided throughout to demonstrate each step, making it accessible for both beginners and experienced developers. Ultimately, the guide aims to equip readers with the knowledge to build powerful AI agents that can adapt and improve their workflows iteratively.

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VB Transform, a long-trusted event for enterprise leaders, is highlighting Google’s latest AI advancements. The company has released a preview of Gemini 2.5 Pro, touted as its most advanced model to date. Initially announced in March and upgraded in May, this version reportedly excels in coding, reasoning, and creative output, outperforming competitors like OpenAI and Anthropic in key metrics. Available through Google AI Studio and Vertex AI, this latest iteration—Gemini 2.5 Pro Preview 06-05—shows improvements in performance benchmarks and usability, addressing past feedback for enhanced creativity and structure. It is designed for enterprise-scale applications and has attracted developer interest for its faster performance and improved output. Pricing is set at $1.25 per million tokens for inputs and $10 for outputs. As Google enhances its positioning in the AI landscape, early user feedback is notably positive.

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The Gemini Android app has received a significant visual refresh, enhancing its user interface to improve accessibility and functionality. Google has reverted the “+” menu to its original list format and rearranged the prompt box chips to prioritize video generation, reflecting recent trends in user engagement. Additionally, a new swipe gesture allows quicker access to the Gemini Live conversational AI assistant, making it more intuitive to launch. These updates are now live in version 16.21 of the stable Google app, following the introduction of autocomplete prompts. The adjustments, noted for their emphasis on user experience, showcase Google’s commitment to refining their applications based on user feedback and preferences. The changes also include a reorganization of tools and a modifier logo for Canvas, reinforcing the app’s focus on video creation and enhancement features.

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Avicenna.AI has received CE Mark certification for two AI algorithms: CINA-VCF Quantix and CINA-CSpine. CINA-VCF Quantix detects and assesses vertebral compression fractures (VCFs) in patients over 50 undergoing CT scans for unrelated conditions, an important tool considering that roughly 750,000 adults in the U.S. suffer from osteoporotic VCFs annually, many of which go undiagnosed. This tool automatically analyzes vertebrae and notifies radiologists of any significant height loss, promoting proactive care. CINA-CSpine, designed for detecting cervical spine fractures, quickly alerts radiologists about potential acute fractures, enhancing diagnosis speed and accuracy. With these certifications, both products meet European health and safety standards and are integrated into existing radiological systems. Avicenna.AI, founded in 2018, focuses on using deep learning to improve healthcare outcomes through advanced imaging solutions.

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