In this (Halloween-special) episode of How to Generate (Almost) Anything, we collaborated with deepfakes expert u/DeepHomage to generate fakes!

Deepfakes got a lot of attention earlier this year since it is getting quite difficult to differentiate between the real and fake videos.

We collaborated with u/DeepHomage who is known for his realistic deepfakes videos (especially, check out his work on Star Trek) to generate some fakes! We decided to fake Trump, as he is almost as popular as Nick Cage in the world of deepfakes, and there is already a substantial corpus of Trump images available. Besides, as you will see below, Trump as the monster from Young Frankenstein, and Winifred from Hocus & Pocus are both hilarious and terrifying at the same time!

In this episode, we collaborated with The Laboratory for Chocolate Science at MIT and made human-AI collaborated chocolate truffles!

TL;DR? Check out the Youtube video of this project!

This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

In this episode of How to Generate (Almost) Anything, we collaborated with The Laboratory for Chocolate Science at MIT (yep, it is a real thing), and made human-AI collaborated chocolate truffles! …

In this episode, we collaborated with two artists from Boston, and made human-AI collaborated graffiti!

TL;DR? Check out the Youtube video of this project:

This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

So far, we did human-AI collaborated arcade songs, pizzas, fashion and perfumes. So what’s next? Human-AI collaborated graffiti! To the best of our knowledge, in this episode we probably created world’s first human-AI collaborated graffiti! …

So far, we did human-AI collaborated arcade songs, pizzas, and dresses. So what’s next? Human-AI collaborated perfumes!

TL;DR? Check out the Youtube video of this project:

This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

It seems like perfume creation is an area that didn’t get enough attention yet (the only work we could find was IBM’s paper from last year –which we encourage everyone to read). …

In this episode, we made two human-AI collaborated dresses: a prom dress with a crazy hat, and a post-apocalyptic jumper.

TL;DR? Check out the Youtube video of this project:

This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

We already used RNNs in Episode 1 (Human-AI collaborated music), and Episode 2 (Human-AI collaborated pizza), so what’s next? GANs!

In this episode, we collaborated with Tony Naser, owner and chef of Crush Pizza in Boston to make human-AI collaborated pizzas!

TL;DR? Check out the Youtube video of this project:

Note: This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

We collected hundreds of artisan pizza recipes from various food blogs and recipe websites, and then we trained a recurrent neural network to generate new ones. …

In the honor of Marvin Minsky’s birthday, we pre-launch How to Generate (Almost) Anything series with a (posthumous) duet between AI and Marvin!

[TL;DR? Check out the Youtube video of this project!]

This article originally appeared at How to Generate (Almost) Anything. For other episodes in this project, visit this Medium post.

As some of you might already know, in addition to being a founder of Artificial Intelligence (and a founding member of MIT Media Lab, and CSAIL), Marvin was a life-long pianist and an amazing improviser. Here is an excerpt of Marvin’s opinions on music:

Why do we like…

This article originally appeared at How to Generate (Almost) Anything.

In the midst of ‘AI awakening’ where machines are becoming good at many ‘human’ jobs, people are worried that AI will ultimately lead to mass unemployment by replacing them. On the contrary, we believe that we can achieve the most creative and productive outcomes when humans and machines work together to enhance each other’s complementary strengths and skills.

By augmenting human capabilities and pushing the boundaries of creativity, can AI inspire us to create things that wouldn’t have existed otherwise? A dress designed with a crazy hat, a pizza made…