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

Chips Are Special Again πŸ€—

Remember the last time you agonized over choosing which CPU to get in your new computer? Yeah, I thought so. Maybe you put some thought about which number came after the “i”, but that was about it. We haven’t had to think a lot about computing chips lately, but that’s changing. πŸ”€ Deep learning and crypto has caused a chip … Read More

With Great Computing Power Comes Great Responsibility? 🚨

Maybe that open letter decrying autonomous weapons wasn’t the best choice? πŸ€” Relax, nothing crazy happened. Paul Scharre just brought up some really good points in this interview with the MIT Tech Review. And they boil down to the best way to impact the smart weapons sector is to help educate and steer policy, not stay away from it. πŸ”– … Read More

AI 4 Elephants 🐘

The Elephant Listening Project is now using AI to analyze their trove of audio to recognize forest elephants. This allows conservationists to better estimate population numbers and track the animals through unique voice signatures. πŸ‘‚ The ELP is also using AI to pick out illegal poaching noises in the audio, like gunshots, so they can alert authorities. And apparently they’re … Read More

Statistics for Machine Learning: Day 2

Time for Day 2 of Machine Learning Mastery’s 7 day course on Statistics for Machine Learning.Β The assignment? List three methods that can be used for each descriptive and inferential statistics. 3οΈβƒ£βœ–οΈ2️⃣ Let’s start with descriptive; or, “methods for summarizing raw observations into information that we can understand and share” Mean – an oldie but goodie. Thinking through examples from my … Read More

The Tangled Web We Weave 🌐

AI and nationalism are strange bedfellows. On the one hand, most research at this point has been collaborative and open. Indeed, a lot of advances are open source and practically everything gets a paper written explaining the process. On the other hand, the implications for military use and national advancement are very real. πŸ› The US and China are the … Read More

Statistics for Machine Learning: Day 1

Machine Learning Mastery now has a 7 day email-based course on Statistics for Machine Learning. Naturally I signed up. Day 1’s assignment is to list 3 reasons why I want to learn statistics. 3️⃣ I want to move from being an AI researcher to an AI practitioner and I think enhancing my statistics knowledge will help. Plus, the more I … Read More

rAIdio πŸ“»

Deepwave has released an AI radio transceiver. It’s got bits and chips that mean you can run AI applications on radio frequencies. πŸ“‘ The post contains some interesting potential use cases, but I’m having more fun imagining all kinds of weird AI radio futures. Being a podcast nerd and having a weird nostalgia for the golden age of radio I … Read More

You Get A Custom Chip! And You Get A Custom Chip! 🎁

As expected, Tesla is one of the newest companies to announce they’re getting into the AI chip game. Wait, what? 🀯 Yup, Elon is doing Elon things and building custom chips built to spec specifically for Tesla’s neural network architectures to drive their vehicles. 🏎 It’s really not that crazy when you think about it. They get more control over … Read More

Signing With Alexa πŸ€ŸπŸ€™πŸ–²

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. πŸ™Œ I wonder how long it will be until Amazon adds functionality like this to the Show device. … Read More

Tech Stands Against Smart Weapons βœ‹

Let’s be honest, autonomous weapons powered by AI are a real possibility. Smart subs anyone? But a bunch of tech and AI people are supporting the Lethal Autonomous Weapons Pledge from the Future of Life Institute. Why? 🚫 In this light, we the undersigned agree that the decision to take a human life should never be delegated to a machine. … Read More