- Big Data News Weekly
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- 🤖 AutoDev: Automated AI-Driven Development
🤖 AutoDev: Automated AI-Driven Development
🦾Plus: 🧠 Neuralink patient plays chess with mind
Hey folks! Let’s get into Big Data and AI craziness…
In today's edition:
🚀In-database Machine Learning is Future of Data Analytics
🔍Data Quality: Why Big Data Needs to Be Its Best Self
🌐How to use PostgreSQL for (military) geoanalytics tasks
🔧Verba: Building an Open Source, Modular RAG Application
🧠Data Interpreter: An LLM Agent For Data Science
💻GitHub's AI tool can automatically fix code
🔥Elon Musk companies are gobbling up Nvidia hardware
🤖 AI Tools and Data Tools
🖼️ A.I. Generated Image of the Day
In-database machine learning is where data analytics is headed and it’s making a huge difference in our ability to provide truly predictive analytics and make data actionable at the time we receive it.
AI brews beer and your big ideas
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AE Studio exists to solve business problems. They build great products and create custom software, AI and BCI solutions. And they once brewed beer by training AI to instruct a brewmeister and then to market the result. The beer sold out – true story.
Beyond beer, AE Studio’s data scientists, designers and developers have done even more impressive things working 1:1 with founders and executives. They’re a great match for leaders wanting to incorporate AI and just generally deliver outstanding products built with the latest tools and tech.
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Big data is big enough that, yes, it still warrants the occasional media story or captivating infographic. But, increasingly, our collective attention needs to focus far more on the quality—not quantity—of data.
This is a detailed guide on utilizing PostgreSQL for military geoanalytics tasks, emphasizing the importance of geospatial data processing in military operations. It covers methods for processing geospatial data, finding nearest objects, distance calculations, using geospatial indexes, determining points within polygons, and geospatial aggregation to enhance analytical capabilities in military contexts.
The paper "AutoDev: Automated AI-Driven Development" presents an automated approach to AI-driven development, involving a collaborative effort by multiple authors. It explores the advancements in automated development processes driven by artificial intelligence, showcasing a comprehensive study on AutoDev
A popular way to build RAG protos has been to integrate calls to proprietary AI APIs (e.g GPT-4) with RAG components using LangChain or Llamaindex. But this has proven complex, often expensive to maintain, and not always reliable.
Data Interpreter, a solution designed to solve with code that emphasizes three pivotal techniques to augment problem-solving in data science: 1) dynamic planning with hierarchical graph structures for real-time data adaptability;2) tool integration dynamically to enhance code proficiency during execution, enriching the requisite expertise;
🤖 AI News:
Microsoft's unveiling of the Surface Pro 10 and Surface Laptop 6 introduces a pivotal moment in computing: the advent of the first AI PC.
Despite Tesla's efforts to create an AI supercomputer, Elon Musk's companies are investing heavily in Nvidia's technology. This move underscores the tech mogul's ambition in AI development, while highlighting Nvidia's dominant position in the AI hardware market.
The U.N. General Assembly has unanimously passed a resolution to promote the development of AI that is safe, reliable, and focused on human benefits. The White House has welcomed this decision, deeming it a historic move towards fostering the responsible evolution of AI technology.
Neuralink just live-streamed their first patient using a brain-chip implant to play online chess and other games by mind control alone, in a major milestone for the technology.
Tokyo-based startup Sakana AI just released three new Japanese-language AI models, created by “breeding“ existing open-source models to produce optimized “offspring”.
Despite nearly all IT leaders recognizing the importance of securing AI systems, action lags far behind intention. A significant portion, 77%, have encountered AI-related breaches, but only a small fraction have taken steps to defend against these sophisticated threats.
💡AI Learning
Create FREE AI Tools with WordPress and Gemini
Reddit’s debut on the New York Stock Exchange (NYSE) saw its shares going for $50.31—up nearly 48% from its original IPO price—thanks to its trove of data that AI companies are desperate to get their hands on.
🔥Top AI tools to increase productivity:
AiREPLI, the advanced AI Email Writer designed to streamline your email communication.
Recast Studio automatically turns your podcast episode into short video clips & writes show notes, blog posts
Notta is an AI-based voice-to-text transcription service that supports 104 languages
Sapien- help organizations prepare data for AI training via a consumer game that empowers labellers
Kafkai is an AI Writer Assistant that offers a unique and readable content generation solution.
Texta is an AI-powered content generation tool that helps users create high-quality, SEO-optimized content with ease.
View our database of all the best AI tools for your needs:
Have cool resources to share? Submit AI tool
👨💻 Data Tools, Libraries
Dropflow (GitHub Repo)
Dropflow is a CSS layout engine with a high-quality text layout implementation capable of displaying many languages. It can generate PDFs or images and render rich wrapped text to a canvas in the browser.
Tortoise (GitHub Repo)
Tortoise is an automated solution designed to meet all Kubernetes resource optimization needs. It shifts optimization responsibility from service owners to platform teams, requiring service owners to configure only a minimal amount of parameters to initiate autoscaling.
DuckDB has many data importers included without requiring extra dependencies - it can natively read and parse JSON as a database table.
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Thanks for reading. See you next time 👋
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