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

The Spy Who Doctored You πŸ‘©β€βš•οΈ

So many mixed emotions on this bit of news. Place a device in your small apartment/home and let it monitor your health via electromagnetic disturbances, even through walls. 😨 On one hand, it’s really cool to think of the positive impacts this could have. Uncovering trends, monitoring habits, divorcing the data collection from the feebleness of human memory to put … Read More

Your Phone, Your Clone? πŸ“±

Essential Products is working on a phone that is largely controlled by voice commands and has an AI built in that is supposed to become a digital version of you in order to respond to messages for you. πŸ’¬ I think this sort of functionality and interaction is a big part of the future, but why a phone? πŸ€” Why … Read More

Fast.DataSets πŸ”£ and AWS have teamed up to make some of the most popular deep learning datasets “available in a single place, using standard formats, on reliable and fast infrastructure.” Woo! πŸ™Œ MNIST, CIFAR, IMDb, Wikitext, and more! Check β€˜em out. Src:

AI Could Create A Defense Dark Horse 🐎

A lot of focus is placed on the US-China AI space race (guilty), but the nature of AI could make for a surprise victor. Or at least a leveling of the playing field. 🚜 There is a risk that the United States, like many leading powers in the past, could take an excessively cautious approach to the adoption of AI … Read More

When People Do Bad Things With Algorithms 😈

There is a lot of concern surrounding decisions made by algorithms and bias baked into said systems, but that is far from the only concern. These podcast episodes do a tremendous job illustrating what happens when people use neutral data for the wrong things. When the reason for the data becomes perverted. At the end of the day AI systems … Read More

The Economist Opens Their Data πŸ‘

The Economist has announced they will be open sourcing their data, starting with the Big Mac Index. πŸ” It also sounds like they’ll be providing a glimpse into their process via Jupyter notebooks, which is really cool. πŸ““ Src: The Economist

Will Robots Understand Value? πŸ’Ή

A while back I wrote about how I didn’t think robots would become the new consumers in capitalism. Turns out I’m not the only one.Β πŸ‘¬ This piece scratches my economics itch in a lot of ways, but I think the heart of it is the fact that we typically believe the economy/market/capitalism operates like a rational machine and not an … Read More

China vs. the US: Round ? πŸ€·β€β™€οΈ

In the continuing narrative that is the space race between the US and China in the realm of AI, we get an entry on what the US can learn from Chine. πŸ‡ΊπŸ‡ΈπŸ‡¨πŸ‡³ It boils down to the two countries excelling at the usual, the US creates visionary ideas and China puts them into production. China has a massive treasure trove … Read More

China’s Social Submission, er…Scoring System

There is a lot of focus on the China vs. USA space race happening in AI right now (at least in my world there is, I’m very interested in the topic). Most of it revolves around spending, governmental support, talent, etc. But maybe the most important aspect is what the implications of either country winning would be, if there truly … Read More

When Unbiased Machines Meet Biased Humans πŸ₯Š

I’m worried about the implications of transferring our biases to machines and then turning up the speed dial to 11. But I hadn’t thought about how we biased mortals might react to truly unbiased decision making. 🀯 So while creating unbiased systems is important, it doesn’t guarantee success in the messy real world once decisions are made. Ultimately debiasing systems … Read More