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

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

ML = 10 Year Olds πŸ‘¦πŸ‘§

I take issue when people seem to think that AI is only AI if it resembles what we’ve been shown in movies. I actually unsubscribed from a podcast when one of the hosts said that none of what is currently being touted as AI counts because it’s essentially not AGI or super AI. #petty πŸ˜’ That being said, I think … Read More

AI Vineyards 🍷

A really cool look at how machine learning is being used by Australian vineyards to predict seasonal yield and monitor their crops throughout the year. πŸ‡ The big takeaway: 🀯 This proves how technology allows a 45-hectare land to be surveyed in 15 minutes and have the data ready a day later. I wonder if systems like this could lead … Read More

The Arms Race Begins πŸ”«

China is developing autonomous AI-powered attack submarines. So this should be fun. Here are a couple totally not terrifying things about them. πŸ™ “The AI has no soul. It is perfect for this kind of job,” said Lin Yang, Chief Scientist on the project. β€œ[An AI sub] can be instructed to take down a nuclear-powered submarine or other high-value targets. … Read More

Sput-who? πŸ›°

The Center for a New American Security thinks the US needs a plan when it comes to AI, and I can’t say I disagree. We certainly wouldn’t be the first to do so. 🌎🌍🌏 The United States may very well be in a new space race, but unlike China, the United States has not yet experienced a true β€œSputnik moment” … Read More

Networked Autonomous Driving πŸŒπŸš™

Austin is doing something really cool, testing out autonomous vehicle alert boxes at select intersections. Why am I excited about this? 🚦 The boxes can feed information to autonomous vehicles, telling them when a light is about to turn red, that someone just ran a red light, that pedestrians are presentΒ and other data the cars need to make safe maneuvers. … Read More

The Deciding Tree 🌳

This is a really great description of decision trees with some lovely visuals. It also continues a good overview of overfitting. πŸ‘Œ Decision trees might not seem as sexy as other algorithmic approaches, but it’s hard to argue with the results. It also strikes me how similar this process seems to the way humans approach a lot of experience-based decision … Read More

Where in the World is AI Policy? πŸ—Ί

A nice summary of many country’s AI policies and a look at where the US stands. Spoiler alert: it’s a gray area. 🌎 While I fear what could happen if corporations are left to run amok, since their goals rarely align with those of most people, I don’t get a warm fuzzy feeling from government either. This is due to … Read More

DeepPhish 🎣

I remember hearing or reading something like if you want determine the viability of a new technology, observe how it is or imagine how it will be used for porn and crime. Turns out deep fakes are the answer for both sectors when it comes to AI. πŸ€¦β€β™‚οΈπŸ€¦β€β™€οΈ Src: albahnsen

When Gradients Explode (or Vanish) πŸ’₯

This is a nice quick read on how to combat exploding or vanishing gradients, a problem that wreak havoc on your deep learning model. πŸ‘Ή My TL;DR: Exploding gradient? Use gradient clipping. It sets a ceiling on your gradient but keeps the direction. βœ‚οΈ Vanishing gradient? If you’re using an RNN, use an LSTM. βœ”οΈ Src: Learn.Love.AI.