Learnings & Musings on AI, ML, Data Science & Python

Google Wages War on Gender

Ok, not really. But I can imagine that being a headline of some inflammatory “news” article. 🗞️ They’re working to remove implicit, societal gender bias from machine translations in Google Translate by changing the underlying architecture of the machine learning model they use. Basically, the model now produces a masculine and feminine version and then determines which is most likely … Read More

How Many Words Is This Dataset Worth? 🤯

Google recently released version 4 of the Open Images dataset and it’s quite large. We’re talking a nine followed by six zeroes large and all are labeled and content is boxed and labeled. Happy training! 📦 Src: Google

Signing With Alexa 🤟🤙🖲

Simply put, this is awesome. 🤘 Our new technologies, like voice, are opening up computing to people who were previously underserved or unserved by the screen-based paradigm. We still have a long way to go, but it’s the start of exciting times. 🙌 I wonder how long it will be until Amazon adds functionality like this to the Show device. … Read More

Chips Meet Edge 🤝

The edge is gonna be big, so it’s no surprise that the tech giants are racing to combine AI and edge. Google is the first of the non-chip makers I’m aware of bringing their new hardware to edge devices. So you’ll soon be able to build IoT and other small devices that harness the power of TensorFlow without needing a … Read More

The Big 4 vs. The World 🌎

I mentioned in yesterday’s post that there is a much higher demand for AI talent than there is supply. No surprise, but the answer for a lot of firms appears to be buying AI startups to help infuse talent. 💸 Even less of a surprise, Google, Apple, Facebook, and Amazon are leading the way when it comes to quantity of … Read More

Dataset Database 🗄

What does ML want? Data! When does it want it? All the time! But specifically, whenever you are going to train, test, and deploy a model. Where do you get this data? I’m glad you asked! 😃 Here is a collection of datasets I’ve come across. I’ll update it as I find more. ➕ Computer Vision Open Images V4 from … Read More

Duplex is Back 🔙

Google retooled their Duplex calling tool a bit so it now announces itself as an automated calling service from Google. Still sounds human. 🗣️

Targeted Listening 👂

Google recently demoed an AI model that can focus in on one voice in a noisy environment. Might sound easy because we do this pretty naturally, but machines aren’t like us. Mics pick up everything in their range without distinguishing, kind of like how a picture might look different than what you saw with your eyes. 👀 This is yet … Read More

Imagination 2: Deep Learning Boogaloo 🕺

Following on the theme of yesterday’s post, DeepMind is really working hard at adding imagination to AI. 💭 This time they worked on using “imagination” to extrapolate out and predict future states based on current states. Really, it’s predictive analytics. 🔮 Again, think of the potential for self-driving cars. Being able to essentially see into the future. A very useful … Read More

Imagine Robots Imagining 💭

DeepMind, of beating humans at Go fame, has now created an AI that can imagine things. Kind of… 💬 Their new GQN model can look at a scene from a few angles and “imagine” what it will look like from another angle. 🔀 It’s a small step towards that ever-popular goal of making AI more like humans. I could see … Read More