🤖 Netflix's AI revolutionizes filming

PLUS: Use ChatGPT's Code Interpreter for data analysis

Author

The Intelligo AI
July 11, 2023

Hello Intelligos!

We’ve got some quite impactful headlines in the world of AI today, from Netflix, Google, the US Military, and more. Grab your coffee and let's get started.

Here is what we are covering today:

  • 📽️ Netflix's AI revolutionizes filming

  • 🤖 Google's Medical AI is tested at hospitals

  • 🏆 5 useful AI Tools

  • 🗞️ 2 AI stories from the US Military & Wildfire detection

  • 💡 AI Tutorial: ChatGPT’s Code Interpreter for data analysis

Read time: 5 minutes

Let’s get to it! 👇🏼

🗞️ Fresh Off The Press

Netflix researchers have invented the Magenta Green Screen (MGS), which uses AI to make TV and film visual effects more real, according to an article from Decrypt.

Unlike traditional green screen methods, which can struggle with small details and take time to edit, the MGS lights actors with a mix of red, blue, and green LEDs.

This creates a unique 'magenta glow' which AI can separate from the background in real-time. Plus, the AI can adjust the magenta color to look normal, speeding up filming.

Why it matters? This tech could make filming faster and the special effects more realistic, leading to quicker show releases and more believable scenes.

According to FOXBusiness, several hospitals, including the Mayo Clinic, one of the major healthcare institutions in the USA, started field-testing Google’s Med-PaLM 2, an AI chatbot that specializes in the Medicine field.

Google believes that Med-PaLM 2, built using questions and answers from medical exams, can provide superior medical advice. The AI chatbot is currently in its testing phase in various hospitals and may be particularly valuable in places where there's a shortage of doctors.

Why it matters? This could mark a significant shift in healthcare delivery, potentially providing reliable medical advice remotely and in areas with limited healthcare access.

🏆 AI Champions

Here are 5 AI tools that caught our eye today

  • Nolej: Generate interactive e-learning content, assessments, and courseware from your provided materials.

  • Hify: Create customized and engaging sales videos directly from your browser.

  • Coda: Combine text, data, and team collaboration into a single document.

  • Lunacy: Utilize AI capabilities and built-in graphics to create UI/UX designs.

  • Webbotify: Develop custom AI chatbots trained on your own data.

📖 Catch Up: AI Stories and Reads

🪖 US Military uses AI to make decisions

The US military is utilizing large-language models (LLMs) to speed up decision-making processes. These AI-powered models have demonstrated the ability to complete requests in minutes that would typically take hours or days, potentially revolutionizing military operations.

🚒 Wildfire AI detection startup raises $17M

Pano AI, a wildfire detection startup, secures a $17 million Series A extension led by Valor Equity Partners, with participation from T-Mobile Ventures and Salesforce. The company's remote-controllable cameras, combined with AI algorithms, provide early warnings of wildfires, allowing emergency responders to take swift action and reduce response time.

💡 AI Tutorial

Using ChatGPT’s Code Interpreter Plugin for Data Analysis

Step 1: Plugin Access

First of all, to access the Code Interpreter plugin, you'll need to have access to ChatGPT Plus. If you're not already a subscriber, you can sign up on OpenAI's website.

Step 2: Data Upload

The Code Interpreter plugin allows you to upload a file directly into the chat. The data can be in various formats, such as tabular data (like Excel or CSV files), images, videos, PDFs, or other types.

Step 3: Data Preparation

After uploading the dataset, you might need to check if it requires cleaning. The dataset might include missing values, errors, outliers, etc. that might affect your analysis later on. 

Clean the uploaded dataset by removing or replacing missing values and excluding any outliers


Step 4: Data Analysis

The Code Interpreter runs Python code in the backend for your data. If you don’t already know, Python is a really powerful language for data analytics, data science, and statistical modeling. With simple English prompts, the plugin will write & perform any kind of analysis for you.

Analyze the distribution of [column name] and provide summary statistics such as the mean, median, and standard deviation

Step 5: Data Visualization

Python is also very powerful in data visualization, hence, the Code Interpreter is powerful as well. You can create plots for your data by specifying the type, column, and color theme. 

Generate a [plot type] for the [column name] with a blue color theme

Step 6: Data Modeling

AI training an AI? You can build and train Machine Learning models such as Linear Regression or Classification on your data. The models can help you make better decisions or predict future data.

Build a [model name] model to predict [target variable] based on [feature variables].

Step 7: Download Data

Finally, download your cleaned and processed dataset.

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