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

Statistics for Machine Learning: Day 2

Time for Day 2 of Machine Learning Mastery’s 7 day course on Statistics for Machine Learning. The assignment? List three methods that can be used for each descriptive and inferential statistics. 3️⃣✖️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. 🛏 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 📻

Deepwave has released an AI radio transceiver. It’s got bits and chips that mean you can run AI applications on radio frequencies. 📡 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 🤟🤙🖲

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

Tech Stands Against Smart Weapons ✋

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

DARPA Gets Chipy 🛡️

Looks like tech companies aren’t the only ones getting in on the chip game. DARPA is adding its muscle to the sector in an effort to make sure hardware development and innovation doesn’t get overlooked or minimized. 💪 What are they focusing on? 🤔 Using ML to automate and expedite development time, and having the tools accessible to n00bs. 🏭 … Read More

Robot Children 🤖

This doesn’t need a lot of prologue, what this guy said: 👇 Instead of preparing students for a future jobs market dominated by Artificial Intelligence, the Government’s focus on rote learning and primary school tests is stifling the very traits that robots find hardest to replicate: creativity, empathy, the ability to work as a team. — Tom Brake MP (@thomasbrake) … Read More

Facial Rec Tech Mess 😟

This article is short but meaty. Synopsis: a lot of people are concerned about the current state of facial recognition and what it could mean for the future. I’m going to use the same headings as the MIT post and offer my random thoughts. 💭 The questioners: The call for regulation and safeguards around facial recognition has been sounded. It … Read More