the one where I get ambitious with machine learning models
Machine learning, AI safety, and the use of AI in breast cancer detection
Welcome back, brat. This week’s newsletter is a little shorter due to me spending most of the week traveling back to the US and getting my life together for the new work week. As always, share your thoughts and recommendations in the comments or directly to hello@jelenacolak.com
Current Learning Phase: Research and Information Absorption
Educational Resources
Machine Learning Models
Remember how last week I touched the surface on the different types of AI Models? Well, one of the opinion pieces I share a little later in this newsletter prompted me to direct my research to Machine Learning Models specifically. Really, that’s what I have been mostly interested in general when it comes to this whole AI thing. If I were to just get a glimpse of the Netflix recommendation model, I would die a happy woman. However, I must satisfy myself with reading these somewhat complex articles. Here’s a good one by Hewlett Packard Enterprises. Now, this is getting a little more complex but I think it serves as a really good glossary and jumping off point for further research, as well as a good bookmark to have handy.
Interesting Opinion Pieces
How AI’s Booms and Busts Are a Distraction
An interesting piece by Vox’s Kelsey Piper on the current state of our approach to AI safety. It’s true - most people think about it from a perspective of “oh no, super robots are going to take over the world,” but there’s much more to it. Just look at how policies around social media have been developed in the past 10 years. We should learn from that and apply the experience to the developing world of AI.
Human Centered Machine Learning
My UX people will find this one particularly interesting. It’s an opinion piece from 2017 written by Jess Holbrook for Google Design. Jess works at Microsoft now, but what he’s written here is still relevant. Number 6 on the list definitely got me excited because it aligns with what I’m thinking might be the future of our roles, especially as someone that has been working on Information Architecture projects and has worked on setting up data labeling strategies. It’s interesting to see how much of this article is still relevant and how much the industry has evolved in a slightly different direction. What’s written here are the types of conversations we should be focusing on.
Make your life easier
AI Assisstant for Interface Design
I debated gatekeeping this one, even though I’m sure many of you know about it. Galileo AI is a UI generation platform for easy and fast design ideation. Their words, not mine. This is what I want to see implemented in Figma in some capacity. I also think this is a great tool for someone that might be ideating on a product but can’t afford to get a designer involved.
News You Shouldn’t Miss
Companies Finally Find a Use for Virtual Reality at Work
“Finally” is a word the WSJ is using. Remember two years ago when there was this weird wave of VR theorists convinced we will be taking meetings in a Second Life type of online environment? Yeah…
Using AI to Detect Breast Cancer
This past week I stumbled upon this image on my Instagram feed posted by The Female Quotient and it intrigued me.
This is what I want to see more of. This comment also reflects what I mean when I hate on the conversations around GenerativeAI - it’s always companies rushing to hop on the AI train and their first solution (because it’s the easiest) is introducing some GenAI assistant that literally no one is using. Anyway, after a further deep dive I discovered this is not new news but nonetheless it’s awesome news. Read more about it here.
Forbes releases its “Next Billion-Dollar Startups” List
Read the full list of 25 venture-backed startups here.
Got beef?
Feel free to send hate mail directly to hello@jelenacolak.com.