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Astrazeneca, Qure.ai Complete 5 million AI-enabled chest X-ray Scans
- AstraZeneca and health-tech firm Qure.ai completed 5 million AI-enabled chest X-rays (CXRs) in more than 20 countries across Asia, the Middle East, Africa, and Latin America, focusing on early lung cancer risk assessment in resource-limited settings.
- Nearly 50,000 individuals with high-risk lung nodules were identified through the screenings, leading to their referral for further testing and possible diagnosis.
- The initiative is part of the EDISON Alliance’s 1 Billion Lives Challenge, aiming to provide digital access to healthcare, education, and financial services to a billion people by 2030.
- The AI-enabled chest X-ray technology by Qure.ai has been instrumental in this global effort, improving lung cancer screening in resource-limited settings and showing promising results in detecting high-risk lung nodules.
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Analyticsindiamag
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Wikipedia Brings AI Strategy to Help Its Editors
- The Wikimedia Foundation has announced a three-year strategy focusing on how AI will support Wikipedia contributors while maintaining a human-led editorial model.
- AI will be used as a tool to assist with routine and technical tasks, not as a substitute for human judgment in editing.
- The strategy emphasizes four areas: supporting moderators and patrollers, improving information retrieval and translation, assisting editors in underrepresented languages, and facilitating onboarding of new editors through AI-driven guidance.
- The Foundation prioritizes open-source AI models and acknowledges trade-offs in its approach, focusing initially on content integrity and applying AI in high-impact areas to combat low-quality content and disinformation online.
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Analyticsindiamag
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Google’s Redemption Arc Continues With Gemini 2.5 Flash
- Google's redemption arc in the AI race continues with the release of Gemini 2.5 Flash, offering a new strategy focusing on API pricing.
- Gemini 2.5 Flash impresses with a competitive price-to-performance ratio, outperforming many models on benchmarks like GPQA and LiveCodeBench.
- Priced at just $0.15 (input) / $0.6 (output) per million tokens, Gemini 2.5 Flash stands out with affordable pricing compared to competitors like GPT 4.1 and Claude 3.7 Sonnet.
- Running on Google's Tensor Processing Units, Gemini 2.5 Flash is lauded for its speed and efficiency, winning praise from developers for its practicality and affordability.
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Analyticsindiamag
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How Developers Can Use Quarkus to Make AI-Infused Java Apps
- Java remains a popular programming language with a large community of developers using it, especially in enterprises.
- Quarkus, a modern Java framework, is highlighted as a powerful tool for integrating AI, like large language models, into Java apps.
- AI evolution from basic AI to machine learning, deep learning, and GenAI poses challenges for Java developers.
- Developers working with Java can leverage Quarkus to simplify AI integration without needing to become AI experts.
- Quarkus streamlines development, reducing the need for extensive AI model knowledge by integrating tools like LangChain4j.
- Adding dependencies to a Quarkus project enables developers to create AI-powered applications without deep AI model understanding.
- Quarkus facilitates easy integration with AI models, much like how developers work with RESTful APIs or gRPC endpoints.
- Developers can utilize LangChain4j in Quarkus to define AI services through simple annotations without specialized AI knowledge.
- Quarkus supports live coding and hot reloading, allowing developers to see code changes instantly without restarting the application.
- Using Quarkus, Java developers can efficiently build AI-infused apps without the need to switch codebases, benefiting organizations with existing Java applications.
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UX Design
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It’s (far past) time to control the algorithm
- Social media feeds often create echo chambers or filter bubbles, showing users content based on what the algorithm thinks they will like.
- Users are expected to break through these bubbles and not blindly trust everything they see online.
- There is a growing concern about the lack of control users have over algorithms and the responsibility falls on individuals to navigate through the content they are shown.
- Questions arise about why individuals have to take on this responsibility instead of the companies providing more transparency and control over algorithmic feeds.
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Medium
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Grok 3 and the Multimodal Revolution: How AI is Redefining Interaction
- Grok 3 and the multimodal revolution in AI by xAI is transforming interactions by combining text, images, audio, and soon video seamlessly within one system.
- Powered by a Mixture-of-Experts (MoE) model and trained on a massive dataset, Grok 3 can handle various data types like text and images with high efficiency.
- Grok 3's architecture allows it to process data with a 128,000-token context window and features like DeepSearch for real-time insights and Big Brain mode for complex tasks.
- Grok 3 excels in image recognition, creative tasks, and reasoning, outperforming competitors in tasks like math and science with its self-correction mechanisms.
- The DeepSearch mode of Grok 3 pulls real-time data from the web and X, making it a valuable tool for professionals seeking market insights or scientific updates.
- While Grok 3's capabilities are impressive, concerns about biases, privacy, and access limitations exist due to its reliance on user-generated data and premium subscription requirements.
- Future features like voice mode and video analysis are planned, expanding Grok 3's functionality, as the broader trend of multimodal AI continues to evolve with models like Sora, Gemini 2.5, and LLaMA 3.3.
- Grok 3's emphasis on truth-seeking and reasoning distinguishes it from other multimodal models, making it appealing for those seeking more nuanced AI interactions.
- Overall, Grok 3's multimodal capabilities offer opportunities for developers, entrepreneurs, and everyday users to leverage AI in various applications, from customer feedback analysis to lesson plan automation.
- The multimodal wave of AI spearheaded by Grok 3 presents exciting possibilities for users to explore and interact with AI in innovative ways, bridging the gap between humans and machines.
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Analyticsindiamag
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IBM, TCS and AP Govt to Build the Largest Quantum Computer in India
- IBM, TCS, and Andhra Pradesh government to build India’s largest quantum computer in Amaravati.
- The facility will house an IBM Quantum System Two with a 156-qubit Heron processor, boosting quantum computing capabilities in India.
- The initiative is part of India’s National Quantum Mission, focusing on quantum algorithm development for real-world challenges.
- The Quantum Valley Tech Park will drive innovation with TCS and IBM collaboration across various sectors like life sciences, materials science, and energy.
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Analyticsindiamag
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50% of Our Code Will be AI-Generated in 18 Months: Aurigo CEO on Expanding India GCC
- Aurigo Software, renowned for infrastructure project management software, has expanded its India presence, with a major focus on innovation and product development in Bengaluru.
- Nearly 500 of Aurigo's 600 employees are based in Bengaluru, emphasizing India as the company's R&D powerhouse.
- Aurigo's CEO, Balaji Sreenivasan, expects 50% of their code to be AI-generated in the next 18 months, aligning with industry trends towards AI integration.
- AI has accelerated Aurigo's product development, enabling rapid prototyping and deployment for government and private sector projects.
- Aurigo emphasizes reskilling rather than replacing employees with AI, foreseeing smarter hiring practices and developing AI agents for various solutions.
- Aurigo is leveraging AI tools, including Lumina GPT, built with OpenAI's API, Meta's Llama, to enhance its Masterworks platform for public infrastructure management.
- With offerings like Aurigo Engage, focusing on citizen engagement for equitable infrastructure decisions, Aurigo is evolving to cater to both government and enterprise clients.
- Utah's successful adoption of Aurigo's platform resulted in significant efficiency gains and cost savings in infrastructure projects, emphasizing the software's impact.
- Aurigo envisions AI transforming user interfaces, moving towards intuitive interactions and data retrieval, highlighting the future direction of software development.
- Aurigo aims to adapt to an AI-driven future, recognizing its necessity in maintaining competitiveness and meeting evolving customer demands.
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Analyticsindiamag
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Lytus Acquires Blod.in, Pledges ₹1,000 Cr to Boost AI and HealthTech
- Lytus Technologies acquires Blod.in, India's first AI-powered blood logistics platform.
- Blod.in has shown significant growth, reducing blood procurement time and addressing India's annual blood deficit.
- The acquisition will boost AI and ML solutions in Lytus HealthTech, focusing on enhancing blood inventory forecasting and delivery.
- Lytus commits ₹1,000 crore over three years to scale operations and improve healthcare outcomes using advanced AI technologies.
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Analyticsindiamag
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Redis Goes Open Source Again With The Launch of Redis 8
- Redis has returned to open source with the launch of Redis 8, now available under the AGPLv3 license, following a controversial detour with the SSPL.
- The company acknowledges that the SSPL decision strained its relationship with the open-source community.
- Redis 8 integrates Redis Community Edition and Redis Stack, offering advanced features like JSON, time series, and probabilistic data structures.
- Performance enhancements in Redis 8 include lower latency, increased throughput, and more query processing power, aiming to simplify adoption and provide a consistent experience for developers.
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Analyticsindiamag
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Claude Users Can Now Connect Apps and Run Deep Research Across Platforms
- Anthropic's chatbot, Claude, offers new features including Integrations and Advanced Research to interact with external tools and conduct detailed investigations.
- Claude can now connect to remote Model Context Protocol (MCP) servers and interact with applications like Jira, Confluence, Zapier, Cloudflare, and more.
- Users can build custom integrations for Claude in 30 minutes using provided documentation or Cloudflare's deployment tools, with plans to add integrations from providers like Stripe and GitLab.
- Claude's Research capabilities have been enhanced for Max, Team, and Enterprise users, enabling deeper investigations across connected apps, Google Workspace, and the web, providing comprehensive reports with clear citations.
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Towards Data Science
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Agentic AI 101: Starting Your Journey Building AI Agents
- The AI industry is evolving rapidly, with the development of Generative AI being a key focus.
- The process of building AI Agents has progressed from simple chatbots to advanced agents capable of handling various tasks.
- To create an AI Agent, an API is used to interact with a Language Model (LLM) like OpenAI, Gemini, etc.
- Python packages such as Agno, Langchain, and CrewAI facilitate the creation of AI Agents.
- Agents are structured with components like model, description, instructions, expected output, and tools for real-world interaction.
- Tools enhance AI Agents' capabilities, from generating content to summarizing YouTube videos.
- Reasoning and Knowledge tools allow agents to analyze queries and retrieve information from external sources.
- Agents with memory can personalize responses based on past interactions, learning user preferences over time.
- Building AI Agents step by step with packages like Agno and progressing to advanced agents offers valuable hands-on learning.
- Continuous exploration and experimentation with AI Agents can lead to innovative applications and solutions.
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Towards Data Science
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Rust for Python Developers: Why You Should Take a Look at the Rust Programming Language
- The programming language Rust is gaining popularity due to its performance and security features, making it an interesting alternative for Python developers, especially in the field of Data Science.
- Rust, developed by Mozilla, focuses on memory management control and an ownership model to prevent errors at compile time, offering advantages in performance over languages like Python.
- Rust is a compiled language that translates code into native machine code before execution, leading to faster execution and early error detection during compilation.
- Rust's memory safety without a garbage collector and ownership model prevent errors like NullPointer exceptions and race conditions, making it ideal for memory-intensive applications.
- Rust's tooling includes 'cargo' for managing code processes, and its growing community and high performance make it a favored language among programmers.
- Rust differs from Python in type specification, speed, memory usage, multithreading, error handling, and syntax, with Python being easier to start with but Rust offering higher performance and control.
- Rust complements Python by providing more control, high performance, and robustness for tasks that require parallelism and performance optimization, making it a valuable addition to a developer's toolset.
- In a comparison of opening a CSV file and counting rows, Python's code is straightforward but may have memory issues with large files, while Rust's code is more robust, efficient, and memory-saving.
- Rust shines in data science for tasks like data preprocessing with Polars for faster processing, compute-intensive tasks with PyO3 for integration with Python, and web backends with actix-web for high-performance APIs.
- Rust is recommended for developers interested in low-level programming, seeking improved performance over Python, working on backend services or CLI tools, understanding memory interactions, and developing robust, maintainable tools.
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Analyticsindiamag
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AWS Records $29.3 Billion Cloud Revenue in Q1 2025, Beats Microsoft and Google
- Amazon Web Services (AWS) reported a revenue of $29.3 billion in Q1 2025, marking a 17% year-over-year increase.
- Andy Jassy, Amazon's CEO, expressed optimism about AWS potentially achieving even higher revenue.
- Google Cloud saw a 28% year-over-year growth in Q1 2025, reaching $12.3 billion, while Microsoft's Intelligent Cloud segment revenue increased by 21% to $26.8 billion.
- In Q1 2025, AWS expanded its AI portfolio with new releases under the Amazon Nova family and added third-party foundation models to Bedrock.
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Medium
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How 12 AI Apps Helped Me Earn $500 Weekly
- An individual shared their experience of using 12 AI-powered applications to earn $500 weekly through passive income.
- Accessing a bundle of 12 AI apps for $14.95 allowed the individual to create websites, videos, and mobile apps without prior coding experience.
- Key apps included SiteFlow AI for website creation, AI VideoBooks for animated video creation, and AI AppMaker for mobile app development.
- The user found success in managing and marketing services, generating revenue, and creating subscription services, highlighting the potential of AI applications for various business endeavors.
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