📈 Prolog for data science

🦾Plus: 💰️ Softbank to rival NVIDIA with $100B AI project

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In today's edition:

  • 📈 7 Real-World Examples of How Brands Are Leveraging Big Data

  • 🐍 Effortlessly Jumpstart Your Python Projects with a CI Template

  • 📜 Uncover the Brief History of SaaS

  • 👁️‍🗨️ Visual vs. Text-Based Programming: Which Reigns Supreme?

  • 📊 Discover the Most Useful DAX Functions in Power BI

  • 🔍️ OpenAI is working on a Web Search

  • 🔉 ElevenLabs announces AI Sound Effects

  • 🖼️ Stability AI reveals Stable Cascade

  • 💸 Reddit has a new $60m AI training deal

  • 🚫OpenAI's Trademark Bid for ‘GPT’ Denied

  • 🤖AI Tools and news

  • 🖼️ A.I. Generated Image of the Day

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Companies have rapidly increased their adoption of big data analytics techniques, so that hey can manage and analyze large data sets in real time. Utilizing these insights, they can understand patterns, associations, and trends related to consumer behavior and interactions.

Analytic methods are used to generate properties about the data under study and Prolog is used to reason about the data via the generated properties. The post includes some examples of piece-wise regression on timeseries data by symbolic reasoning.

Starting a new Python project ? 👀 Stop right here !Try this Continuous Integration (CI) template to catapult your code quality to a stellar level 🚀

What was once high-tech will eventually become background infrastructure - SaaS will eventually become the infrastructure for artificial intelligence, robotics, biotech, and reforming manufacturing and space.

Visual programming tools (also called ‘no-code’ or ‘low-code’) have been getting a lot of press recently. This, in turn, has generated a lot of discussion about whether visual or text based programming (coding) is ‘best’.

Power BI is popular for its versatility, interactivity, aesthetic designs, extensive connectivity to databases and ease of creating low-effort dashboards. It also leverages support from other tools from its Microsoft ecosystem – Azure, Cortana, SQL Server, Azure Active Directory, Azure Blob Storage, etc.

This book provides a complete and concise overview of the mathematical engineering of deep learning. In addition to overviewing deep learning foundations, the treatment includes convolutional neural networks, recurrent neural networks, transformers, generative adversarial networks, diffusion models, reinforcement learning, graphical neural networks, and multiple tricks of the trade.

🤖 AI News:

SoftBank founder (and multi-billionaire) Masayoshi Son is reportedly looking to raise $100B to launch ‘Project Izanagi,’ an AI chip venture to compete with NVIDIA and push towards AGI.

According to the Information reports, OpenAI is working on a new search engine. After the report, Google's shares took a dive faster than a dog fleeing a bath.

Magic AI, from San Francisco, has excited many by raising $117 million. This effort supported by big names like NFDG Ventures, CapitalG, and Elad Gil, is not just about money. It's about a dream started in 2022 to make coding easier and smarter with AI.

Stable Cascade is a new, improved version of the Stable Diffusion AI image creator made by Stability AI. It's faster and more powerful than its predecessor. Many projects that already use Stable Diffusion are expected to switch to Stable Cascade.

OpenAI’s Sora is cool but mute; ElevenLab’s new background sound effect wants to fix that. ElevenLabs has posted a short video sample with AI-generated sound. Interestingly, the company used videos that were made by OpenAI Sora (yes, those very clips that had us all in awe).

Reddit has reportedly signed a $60M annual deal granting an unnamed AI firm access to its user-generated content for model training, with the deal coming prior to the company’s upcoming IPO.

💡 Trending Tech Talks

A Conversation with the Founder of ChatGPT

🤖 AI Ethics: 

Our Report: 20 tech companies, including Microsoft, Meta, Google, and OpenAI, signed an agreement (at the Munich Security Conference) to work together to stop AI-generated deep fakes from interfering with global elections..

 🔥Top AI tools to increase productivity: 

  1. Trolly AI: Revolutionizing SEO Content Creation with Advanced AI Technology.

  2. pre.dev accelerates idea to development. Chat with the pre.dev AI and receive full software architecture, recommended tech stack

  3. AskGPT extension enhances web browsers by providing AI-powered summaries and insights directly on web pages.

  4. 🏻 Editby - Create content for your blog, newspaper, newsletter, press notes, social networks etc. with AI.

  5. Data Analyst AI connects Google Analytics with ChatGPT, delivering AI-powered eCommerce insights and automated weekly reports.

  6. Videotok - Create viral TikToks and Reels from text to Video with AI

  7. ChatHelp.ai AI Chatbot – AI-powered Business, Work, Study Assistant, 100+ AI Tools & Website Chat Widget.

  8. Webscrape AI is an advanced, user-friendly platform that allows individuals and businesses to extract data from the web effortlessly.

View our database of all the best AI tools for your needs:

Have cool resources to share? Submit a tool or reach us by replying to this email. 


👨‍💻 Data Tools, Libraries 

Tidier.jl is a data analysis package inspired by R's tidyverse and crafted specifically for Julia. Tidier.jl is a meta-package in that its functionality comes from a series of smaller packages.

Magika (GitHub Repo)

Magika is an AI-powered file type detection tool. It uses a custom Keras model that only weighs around 1MB to enable precise file identification within milliseconds when running on a single CPU.

LLRT (Low Latency Runtime) is an experimental, lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

Inox is single-binary platform that will contain all you need to develop, test, and deploy web apps that are primarily rendered server-side.

A.I. Generated Image of the Day

used Midjourney v6 to imagine Tesla products that don’t exist. (source)

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