Tag Archive for: Microlearning

Module 3: Big Moves. Generative AI in the Real World

Entertainment and Media

Generative AI is turning the entertainment industry on its head, making things possible that directors and artists used to dream about. Imagine a movie studio with an AI that can produce hyper-realistic de-aging effects on actors, eliminating the need for expensive makeup and prosthetics. Entire scenes can be altered or created from scratch, allowing for unprecedented creative flexibility. And it’s not just the visuals, AI is generating soundtracks, remixing music, and even crafting personalized themes for each viewer.

 

For content creators, AI-driven writing assistants can generate ideas, rework dialogue, and push creativity to the edge. Musicians are also in on it: producers can now collaborate with AI to create beats, remix old tracks, or craft entirely new genres. It’s not just about saving time; it’s about pushing the boundaries of what’s possible, and generative AI is at the center of this creative revolution.

 

What’s Poppin?

 

Timbaland and Suno Legendary producer Timbaland is collaborating with Suno to create beats using generative AI. He’s experimenting with AI-driven music production, where AI tools suggest harmonies, beats, and effects, turning AI into a virtual studio partner.

Disney and ILM (Industrial Light & Magic)  – Disney uses AI across its franchises for CGI de-aging, most notably in The Mandalorian, where AI helped “recreate” a young Luke Skywalker. ILM’s generative AI techniques also allow for hyper-realistic digital humans and visual effects that blend seamlessly with real footage.

Runway and Everything Everywhere All At Once – Runway, an AI-powered video editing tool, was used to create effects for Everything Everywhere All At Once. Runway’s tools can generate visual effects that look like they were made by a whole VFX team, offering indie filmmakers studio-level effects on a smaller budget.

 

Healthcare and Science

In healthcare, generative AI is a game-changer. Beyond drug discovery, it’s making personalized medicine a reality by analyzing patient data to predict which treatments will be most effective. Doctors are starting to rely on AI for predictive analytics—imagine an AI capable of recognizing patterns across millions of patient records to identify high-risk cases before symptoms even appear. In surgery, some AI systems are enhancing precision by providing real-time, data-driven insights to surgeons, essentially acting as a second, incredibly knowledgeable set of eyes.

 

AI is also playing a role in gene editing, predicting the most effective gene sequences for treating genetic disorders. For researchers, AI has become a partner in the lab, capable of testing hypotheses and running simulations in record time. The future of healthcare isn’t just enhanced by AI, it’s being shaped by it, one breakthrough at a time.

 

What’s Poppin?

Insilico Medicine This biotech company uses generative AI to discover and optimize new drugs. Insilico’s AI platform identified a new drug candidate for treating fibrosis in record time, compressing what would usually take years into months. They’re leading the charge in AI-driven drug discovery.

Zebra Medical Vision Zebra Medical uses generative AI in diagnostic imaging, offering AI-generated insights that help radiologists detect diseases like cancer, liver disease, and cardiovascular conditions. Their AI scans X-rays, MRIs, and CT scans to spot potential issues at an early stage.

CRISPR and AI in Genomics  – CRISPR’s gene-editing technology is enhanced by generative AI, which helps scientists predict the effects of gene edits, identifying which genetic sequences are more likely to yield successful outcomes. AI’s speed and accuracy have made it a key tool in genetic research.

 

Design, Architecture, and Beyond

Design and architecture are now AI-powered playgrounds, where generative AI is pushing creativity to uncharted territory. AI can prototype thousands of product designs in minutes, offering choices based on usability, aesthetics, and cost efficiency. Architects can use AI to run simulations, testing how buildings respond to sunlight, wind, and earthquakes before they’re even built, minimizing risk and maximizing safety. 

 

In urban planning, generative AI is helping cities design smarter. By analyzing traffic patterns, environmental impact, and energy usage, AI is shaping cities that are greener and more efficient. And in fields like fashion, generative AI is creating fabrics, experimenting with new textures, and even designing clothing that adapts to the wearer’s body. AI isn’t just assisting these industries—it’s unleashing new forms of innovation, giving designers, architects, and creators the tools to bring the impossible to life.

 

What’s Poppin?

Autodesk Dreamcatcher  – Autodesk’s generative design software, Dreamcatcher, allows architects and engineers to input project requirements and let AI generate thousands of design solutions. It’s been used to create office layouts, buildings, and even industrial parts, optimizing for aesthetics, functionality, and sustainability.

Nike and AI-driven Product Design – Nike uses generative AI to prototype new sneaker designs, pushing the envelope on style and performance. With AI, they can test hundreds of designs virtually, optimizing each for factors like weight, durability, and even aesthetics, resulting in products that are innovative and highly functional.

 

So, What Did You Learn?

It’s quiz time. Drop them in the comments below. 

 

Question 1

How is generative AI changing the entertainment industry?  

  1. It’s only used for online streaming recommendations.  
  2.  It generates CGI and special effects, de-ages actors, and assists in scriptwriting.  
  3.  It’s used solely for social media post monitoring.  
  4. It provides subtitles for movies only.

 

Question 2 

What’s a major way generative AI is impacting healthcare?  

  1.  By creating playlists for hospital waiting rooms.  
  2.  By helping doctors predict new drug compounds and enhancing medical imaging accuracy.  
  3.  By printing patient records faster.  
  4. By teaching medical students anatomy.

 

Question 3

How is generative AI pushing the boundaries in design and architecture?  

  1. By automating the painting of walls.  
  2.  By drafting complex building designs and generating unique product prototypes.  
  3.  By mass-producing existing blueprints.  
  4.  By creating fabric textures for clothing.

 

Question 4 

Which of these industries has generative AI NOT heavily impacted?  

  1. Media and entertainment  
  2.  Agriculture  
  3. Healthcare  
  4. Architecture

 

Question 5

Match the industry to its generative AI application:  

  1. Creating beats and harmonies – ______  
  2.  Drug discovery and imaging – ______ 
  3. Drafting eco-friendly buildings – ______

 

   Options  

   Healthcare, Design/Architecture, Entertainment

 

 

 

 

 

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