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- 📈 The Rise of Single-Node Processing
📈 The Rise of Single-Node Processing
🦾Plus: 🤖 OpenAI launches Operator, an AI agent
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: What's Shaping the Future of Data?
🤖AI agents are better than SaaS.
💼 Oracle unveils new AI agents for sales professionals
🔍Causal Inference Meets Deep Learning
📚 The Mathematics of Artificial Intelligence
👻 Anthropic’s new feature stops hallucinations?
📱 Perplexity debuts new AI mobile assistant
💡 AI Tutorial:Generate a Wikipedia-like report on any topic using AI
🤖 AI Tools and Data Tools to checkout
Machine learning is a fragment of AI and a very significant one. It is a subset of AI that has proved to be successful for technology to make headway. Artificial intelligence is based on Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. It is the exploitation of computer functions that are related to human intelligence, such as reasoning, learning and problem-solving.
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2024 witnessed growing interest in single-node processing frameworks, with tools like DuckDB, Apache DataFusion, and Polars receiving increased attention and gaining unprecedented popularity from the data community.
If you open up literally any predictions for 2025 focused on technology, you'll see a big bet on AI agents. Creators, entrepreneurs, enterprises, and investors are thinking about this niche. Integration costs are estimated at $1T (!) for the next couple of years.
Oracle has unveiled a suite of AI agents tailored for sales professionals. Unlike generic assistants, these agents are designed for specific tasks, such as updating company records and tracking deal progress post-meetings. The features are available at no extra cost for users of the new agents.
The article describes the integration of causal inference with traditional deep learning algorithms and illustrates its application to large model tasks as well as specific modalities in deep learning.
This article focuses on the application of analytical and probabilistic tools to model neural network architectures and better understand their optimization. Statistical questions (particularly the generalization capacity of these networks) are intentionally set aside, though they are of crucial importance
👨💻 Data Tools, Libraries
Kronotop (GitHub Repo)
Kronotop is a Redis-compatible, distributed, and transactional document database that is horizontally scalable and sharded by default.
OSV (GitHub Repo)
OSV helps developers identify known third-party open source dependency vulnerabilities.
AI News:
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OpenAI’s Operator brings autonomous website navigation to AI assistant to ChatGPT. Operator handles tasks like filling forms and online shopping autonomously, using GPT-4o’s vision capabilities. Powered by the Computer-Using Agent (CUA) model, it processes screen data to interact with websites in real-time.
Anthropic has revealed a new developer feature—Citations—which references “the exact sentences and passages” from the source docs developers use to generate responses from Anthropic’s AI chatbot, Claude.
Perplexity just unveiled Perplexity Assistant, a free, agent-like tool for Android that can control phone apps and perform complex tasks with multimodal and voice capabilities — directly challenging voice assistants like Google’s Gemini and Siri.
The Center for AI Safety and Scale AI just introduced "Humanity's Last Exam," a new AI benchmark designed to be the final frontier for testing an LLM’s academic knowledge — as current AI systems become too strong for existing tests.
Mukesh Ambani’s Reliance is planning to build what could become the world’s largest data center in Jamnagar, India, with a capacity of three gigawatts to capitalize on surging AI demand. The facility would dwarf the current largest data center, Microsoft’s 600-megawatt site in Virginia, Bloomberg reported Friday. The project could cost between $20 billion to $30 billion, the report added.
AI Tutorial
Generate a Wikipedia-like report on any topic using AI
Go to the the STORM Research Platform and create an account
Enter your topic in the search bar. To get better results, your topic should be specific, clear, and self-explanatory.
Once the platform completes its analysis, you can use a sample prompt to generate the content:
“Write a Wikipedia-like article on [enter your topic]”
This prompt will ensure that the AI produces an article that follows the style, tone, and structure of a Wikipedia entry.
Check the result, verify the sources used, and confirm the inclusion of up-to-date information.
🔥Top AI tools to increase productivity:
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👀 Future of work
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