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Data Science News
Medium
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How an AI App Helped Me Create Kids’ Books Effortlessly
- The World’s First AI App That Creates Stunning Talking Kids Books in Any Language has revolutionized the process of creating captivating and interactive children's stories.
- The app allows users to effortlessly craft delightful and engaging stories with various themes and characters, making the stories resonate with young readers.
- The integrated audio features enable the stories to be narrated in multiple languages, promoting language learning among children.
- The AI app fosters creativity, imagination, and personalized learning experiences, while also offering a cost-effective alternative to purchasing multiple storybooks.
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Towards Data Science
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Building a Scalable and Accurate Audio Interview Transcription Pipeline with Google Gemini
- Transcribing long audio interviews accurately, especially in languages other than English, presents complex challenges such as reliable speaker identification and precise timestamps at an affordable price.
- The article discusses the journey of building a scalable transcription pipeline using Google's Vertex AI and Gemini models, highlighting unexpected limitations and budget considerations.
- Initial attempts using Google's Vertex AI services like Chirp2 and Gemini 2.0 Flash revealed shortcomings, leading to the need for a custom implementation for interview transcriptions.
- Issues like token limits, timestamp drift, and a repetition bug posed significant hurdles in achieving accurate and cost-effective transcription for long audio files.
- Implementing a strategy of chunking audio into shorter segments improved transcription quality, reduced costs, and addressed challenges like the repetition bug.
- The process involved post-processing of transcripts, merging audio chunks, and reconstructing full transcripts to ensure continuity and accuracy in the final output.
- Careful prompt engineering, smart chunking strategies, and transcript corrections were essential in overcoming challenges and building a reliable transcription system.
- The article emphasizes the importance of precision in prompts, chunking strategies, and merging techniques to ensure high-quality transcription results for long interviews.
- Overall, the journey highlighted the complexities of building a transcription pipeline but resulted in a robust system that balances accuracy, performance, and cost-efficiency.
- The experience with Google's models demonstrated the need for innovative solutions and meticulous approach in audio transcription projects to achieve scalable and accurate results.
- The article concludes by noting the continuous evolution in LLMs and APIs, indicating potential for more streamlined transcription solutions in the future.
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VentureBeat
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Meta unleashes Llama API running 18x faster than OpenAI: Cerebras partnership delivers 2,600 tokens per second
- Meta has teamed up with Cerebras Systems to launch the Llama API, boasting inference speeds up to 18 times faster than GPU-based solutions.
- This move positions Meta in direct competition with OpenAI, Anthropic, and Google in the AI inference service market.
- The partnership represents Meta's debut into selling AI computation, utilizing Cerebras' specialized AI chips for a significant speed boost.
- Cerebras' system can deliver over 2,600 tokens per second for Llama 4 Scout, far surpassing traditional models in speed.
- The increased speed opens up new possibilities for applications like real-time agents, conversational voice systems, and interactive code generation.
- Meta's API marks a strategic shift towards becoming a full-service AI infrastructure provider, generating revenue from AI investments while keeping models open.
- Cerebras will power Meta's service across various data centers in North America, providing fast inference options.
- Meta's entry into the inference API market with superior performance metrics could disrupt established players like OpenAI and Google.
- Developers can currently access the limited preview of Llama API for ultra-fast inference by requesting early access through the platform.
- Meta's partnership with Cerebras signifies a significant advancement in AI hardware technology and commercial strategy.
- The swift inference capabilities of the Llama API represent a pivotal shift towards the importance of speed in the future of AI models.
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Medium
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This Book Made Me Understand Statistics For Data Science (Worth Its Time And Money)
- A psychologist with a weak foundation in math shares the importance of statistics in data science.
- Desiring to become a neuroscientist, the individual realized the need to learn programming and data analysis.
- The person found a book that helped them understand statistics and recommends it for others.
- Acknowledging that they are not an expert, the psychologist encourages recommendations for further reading.
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Towards Data Science
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How to Level Up Your Technical Skills in This AI Era
- AI-assisted coding tools like Cursor, V0, and Lovable have reduced the entry barriers by enabling faster development of dashboards, pipelines, and apps.
- While AI tools enhance productivity, relying too heavily on them may hinder the development of deep technical understanding and problem-solving skills.
- Engaging in 'vibe coding' for quick code generation can lead to complex issues and technical debt, emphasizing the importance of building a strong mental model.
- Using AI tools judiciously, such as selecting suggestions before implementing them, can mitigate errors and enhance code quality.
- Contributing to open source projects is highlighted as a valuable way to enhance technical skills, learn best practices, and interact with a community of developers.
- Open source contributions offer benefits like enhancing version control proficiency, networking, and portfolio development for career advancement.
- Choosing open source projects based on personal interest, utilizing features you need, and starting with familiar technologies can enhance motivation and learning.
- Practical steps for contributing to open source include selecting relevant features, setting up the local environment, starting with small tasks, and learning by doing.
- Navigating the codebase, writing clear commit messages, and engaging in the review process are essential components of successful open source contribution.
- Despite initial challenges, persistence in open source contribution can lead to valuable learning experiences, networking opportunities, and personal growth.
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Towards Data Science
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AI Agents for a More Sustainable World
- The article discusses using AI agents to support companies in their green transformation amidst weakening political support for sustainability and increasing importance of sustainable practices.
- It explores leveraging agentic AI to supercharge analytics solutions in areas like Supply Chain Analytics for sustainability targets.
- Challenges faced by companies include lack of visibility on operational processes, complexity of sustainability reporting, and designing sustainable initiatives across the value chain.
- The article highlights using AI agents for data preparation, like text-to-SQL applications, to simplify the process for non-technical teams.
- It also discusses using AI agents for auditing and summarizing reports to meet required formats like the CSRD framework.
- Furthermore, the article delves into how AI agents can assist in designing and implementing sustainable initiatives by providing guidance, interpreting results, and offering actionable recommendations.
- By embedding AI agents in analytics products, the aim is to make sustainability analytics accessible to all teams, not just technical experts.
- The article emphasizes responsible AI use by minimizing environmental impacts and ensuring robustness and reliability in solutions.
- AI agents serve as powerful allies in accelerating sustainability roadmaps by simplifying data-driven insights and guiding users through their journey.
- The author offers consulting on analytics and sustainable supply chain transformation, focusing on applications of AI in optimizing logistics operations.
- In conclusion, AI agents play a crucial role in bridging the gap between data-driven solutions and operational execution for sustainability in various industries.
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Towards Data Science
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Graph Neural Networks Part 4: Teaching Models to Connect the Dots
- Link prediction is the task of forecasting missing or future connections between nodes in a graph.
- Local heuristics like Common Neighbors, Jaccard Coefficient, and Adamic-Adar Index are based on the immediate neighborhood of nodes.
- Preferential Attachment is a different approach where nodes with higher degrees are more likely to form links.
- Global heuristics like Katz Index and Rooted PageRank consider paths or the entire graph structure for link prediction.
- Machine learning approaches for link prediction treat it as a binary classification task and can outperform heuristics.
- VGAE combines Graph Auto-Encoder (GAE) and Variational Auto-Encoder (VAE) to predict missing links based on learned hidden structure.
- VGAE's encoding step maps nodes to latent variables in a hidden space, while the decoding step predicts edges between nodes.
- SEAL (Subgraph Embedding-based Link Prediction) looks at local subgraphs instead of global node embeddings for predicting links.
- SEAL learns structural patterns directly from examples, providing better performance for some problems.
- VGAE and SEAL are powerful GNN-based methods that offer improved link prediction results compared to traditional heuristics and basic machine learning models.
- Understanding link prediction methodologies, from simple heuristics to advanced GNN-based models like VGAE and SEAL, can enhance predictions in a variety of applications.
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VentureBeat
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Meta’s first dedicated AI app is here with Llama 4 — but it’s more consumer than productivity or business oriented
- Meta Platforms, Inc. has launched its own Meta AI app, focused on personalized and integrated AI experiences across various platforms.
- Powered by Llama 4, the app emphasizes learning user preferences and supporting voice-first interaction.
- The app requires a Meta products account for login and is currently available on iOS and the web.
- The launch precedes Meta's AI developer conference, Llamacon 2025, showcasing its Llama model family.
- The Meta AI app enables users to have voice conversations with AI, edit images, and access unique features like the Discover feed.
- While the app introduces innovative voice functionalities, it may have technical inconsistencies and limited real-time web access.
- Meta is also testing document editing features and offers deep personalization based on user profiles and preferences.
- Users can interact with AI through the app, web, and Meta's smart glasses, ensuring seamless conversation history across devices.
- The Discover section allows users to browse and share prompts and creative outputs, fostering community engagement with AI.
- Mark Zuckerberg highlights Meta's focus on personalization and low-latency interactions, positioning AI as integral to daily life.
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Medium
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NLP isn’t about replacing humans
- Natural Language Processing (NLP) is the technology behind voice assistants like Google and Alexa.
- NLP processes and interprets human language to understand intent and respond appropriately.
- NLP involves stages like tokenization, part-of-speech tagging, named entity recognition, intent detection, and text generation.
- NLP is used in various applications, such as Google Translate, grammar correction tools, customer chatbots, and medical transcription.
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Gritdaily
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How Niveditha Mogali Is Transforming Healthcare Through Data Science
- Niveditha Mogali is a thought leader in the life science industry and engages in public forums on transforming healthcare through data science.
- Mogali is passionate about using analytics to bridge gaps in healthcare and empower the healthcare ecosystem.
- Motivated by personal losses, Mogali is committed to healthcare transformation and ensuring all patients have access to the correct medication at the right time.
- Mogali is a thought leader, speaker, and advocate for mentorship and STEM education, especially for women in the industry.
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Analyticsindiamag
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Keysight Secures NATO Contract to Enhance Radar and Electronic Warfare
- Keysight Technologies has been awarded a contract to modernise NATO’s radar and electronic support measures (ESM) testing capabilities.
- Keysight will deliver Radar Target Generators and Electronic Warfare (EW) threat simulation systems to NATO’s Naval Forces Sensor and Weapons Accuracy Check Sites (FORACS).
- The systems will improve the calibration, maintenance, and assessment of radar systems across NATO Navy bases, meeting evolving defence requirements.
- This contract highlights Keysight's role in supporting NATO's readiness in an increasingly contested electromagnetic spectrum.
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Analyticsindiamag
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Meta Challenges OpenAI’s Social Media Plans, Launches AI App to Rival ChatGPT
- Meta has released its standalone AI app, designed to offer a personalised assistant experience across devices, including Ray-Ban glasses and the web.
- The app features voice-based interaction, contextual memory, and a Discover feed to explore AI usage. It is built on Meta's Llama 4 model and connects to the broader Meta AI ecosystem.
- In addition, OpenAI is developing a social media platform with AI features, combining a social feed with ChatGPT's image generation tools.
- The platform is intended to allow users to create and share visuals directly in the feed, focusing on co-creating content with AI.
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Analyticsindiamag
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AI-Driven Multimodal Models Reshape Indian Businesses, Deloitte Report
- Indian businesses are adopting small, multimodal models to meet demands for faster and targeted solutions.
- AI is leading the transformation across sectors, reshaping industries with context-aware intelligence.
- The integration of heterogeneous computing and spatial computing powered by AI is unlocking new levels of efficiency and performance.
- AI is reshaping the foundations of modern enterprise architecture, replacing traditional monolithic systems.
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Medium
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251
Memory = Life: A Veritas Scientific Foundation
- The article explores the concept of Memory = Life (M = L) as the axiom, where memory is defined as structured, persistent information that resists entropy over time, and life emerges from memory stabilization.
- Life is described as a system structured to resist entropy within spacetime frames, with death being the loss of memory persistence beyond recoverable thresholds.
- Evolutionary advancement optimizes memory transmission efficiency, and biological complexity arises to support stable memory persistence.
- Consciousness is defined as the reflection of structured memory persistence allowing temporal projection and internal simulation.
- Information is considered physical when it persists sufficiently to resist environmental entropy, with memory density affecting subjective time perception.
- Entropy can be resisted through information reinforcement, with quantum biology supporting the optimization of memory in biological systems.
- Biological case studies like cancer cells and stem cells reinforce the importance of memory in life structures.
- Memory structures play a vital role in biological and synthetic systems, requiring energy to preserve and activate memory-based outcomes.
- The axiom asserts the fundamental role of memory in the persistence of complex systems, challenging the scientific community for empirical validation.
- The article concludes that memory is not a byproduct but the essence of life, pushing for a unified understanding across various scientific disciplines.
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Kotaku
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Baldur's Gate 3 And Nier Automata Directors React To AI Hype
- Baldur’s Gate 3 director, Sven Vincke, believes the AI race will not upend gaming but will be potentially helpful in fast-tracking early prototyping and as a tool for polishing motion capture footage or voice editing.
- Vincke mentioned that Larian Studios also explores the use of narrative AI tools to flag potential plot holes or inconsistencies as human writers create scripts, but doesn't anticipate a future where AI tools replace game developers or make finished products.
- Yoko Taro, the director behind the Nier games, holds a less optimistic view on generative AI advancements, believing that AI will make all game creators unemployed, potentially eliminating many roles held by humans.
- Taro suggested that AI tools could help players bypass game makers in certain types of games like text-heavy adventures by generating scenarios based on user preferences and improving recommendation capabilities.
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