This technology can make the Mona Lisa talk (sort of)
Machine learning researchers have produced a system that can recreate lifelike motion from just a single frame of a person’s face, opening up the possibility of animating not just photos but also paintings. It’s not perfect, but when it works, it is — like much AI work these days — eerie and fascinating...
The AI gig economy is coming for you
The artificial-intelligence industry runs on the invisible labor of humans working in isolated and often terrible conditions—and the model is spreading to more and more businesses...
Training a single AI model can emit as much carbon as 5 cars
In a new paper, researchers at the University of Massachusetts, Amherst, performed a life cycle assessment for training several common large AI models. They found that the process can emit more than 626,000 pounds of carbon dioxide equivalent—nearly five times the lifetime emissions of the average American car (and that includes manufacture of the car itself)...
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Data Science Articles & Videos
How To Learn Data Science If You’re Broke
Over the last year, I taught myself data science. I learned from hundreds of online resources and studied 6–8 hours every day. All while working for minimum wage at a day-care....
MelNet: A Generative Model for Audio in the Frequency Domain
Existing generative models for audio have predominantly aimed to directly model time-domain waveforms. MelNet instead aims to model the frequency content of an audio signal. MelNet can be used to model audio unconditionally, making it capable of tasks such as music generation. It can also be conditioned on text and speaker, making it applicable to tasks such as text-to-speech and voice conversion...
Notes on the Limitations of the Empirical Fisher Approximation
I was debating with myself whether I should write a post about this because it's a superbly written paper that you should probably read in full. There isn't a whole lot of novelty in the paper, but it is a great discussion paper that provides a concise overview of the Fisher information, the empirical Fisher matrix and their connectinos to generalized Gauss-Newton methods...
Once again, a neural net tries to name cats
Last year I trained a neural net to generate new names for kittens, by giving it a list of over 8,000 existing cat names to imitate. Without knowledge of English beyond its list of cat names, it didn’t know what letter combinations to avoid. So I decided to revisit the cat-naming problem, this time using a neural net that had a lot more context...
DeepMind’s AI has used teamwork to beat humans at a first-person shooter
In a paper published in Science yesterday, DeepMind showed how it had let AI programs loose in a modified version of the 3D first-person video game Quake III Arena. The team used an algorithm called “For the Win,” which trains a host of agents in parallel using reinforcement learning...
A Quantitative Approach to Product Market Fit
This article will first go into greater detail of why we believe a quantitative approach to product-market fit is important. Then it will outline in detail three types of analyses we employ at Tribe Capital to understand product-market fit in a given company...
Data Scientist, Analytics - DoorDash - NYC
The Analytics team is looking for Data Scientists to drive measurement, strategy, and tactical decision-making across the company. You’ll be solving problems that range from customer acquisition to balancing supply and demand to new city launches to marketplace efficiency. You’ll be designing and analyzing A/B tests for new product features, generating and sizing opportunities to prioritize new initiatives, and defining key performance metrics for the team. Data Scientists at DoorDash work cross-functionally to uncover insights and turn them into actionable recommendations...
Training & Resources
Deep Learning Models
A collection of various deep learning architectures, models, and tips for TensorFlow and PyTorch in Jupyter Notebooks...
Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin
"Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic"...
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