Blog post
March 27, 2024 / By Nathan Brake
Recently I built an application to demonstrate some machine learning models that our team has been working on. Before beginning to write the code, I found it useful to have […]
Blog post
March 8, 2024 / By Nathan Brake, V. “Juggy” Jagannathan, PhD
This week I chatted with artificial intelligence (AI) and machine learning engineer and new Inside Angle blogger Nathan Brake to find out how he got started in the industry and […]
Blog post
Feb. 26, 2024 / By Nathan Brake
I’ve been a long time user of Mint for their free money management and budgeting tools. I’m sure it comes as no shock that someone working in machine learning is […]
Blog post
Feb. 16, 2024 / By V. “Juggy” Jagannathan, PhD
This week, I am looking at two articles, both bearing on the overall topic of future of digital health. Stanford Center for Digital Health I listened to a podcast […]
Blog post
Feb. 9, 2024 / By V. “Juggy” Jagannathan, PhD
The history of artificial intelligence (AI) is littered with the notion of agents. What exactly is an agent? I remember attending a workshop on distributed AI in Gloucester, Mass., in […]
Blog post
Jan. 29, 2024 / By Nathan Brake
This past fall, I became a father to my first child. She’s now about five months old, and my wife and I have spent a fair amount of time reading […]
Blog post
Jan. 12, 2024 / By V. “Juggy” Jagannathan, PhD
This week it is my privilege to share a podcast I did with Robert Plotkin. Robert is a patent lawyer who has been exploring the role of artificial intelligence (AI) […]
Blog post
Dec. 15, 2023 / By V. “Juggy” Jagannathan, PhD
In this last blog for 2023, we take a tour of momentous happenings in the world of artificial intelligence (AI) through my 2023 AI talk blog journey. We also review […]
Blog post
Nov. 27, 2023 / By V. “Juggy” Jagannathan, PhD
In this week’s blog, I explore the fascinating question: What does a large language model (LLM) really know? Intriguing studies from MIT researchers contain a partial answer. I also delve […]
Blog post
Oct. 27, 2023 / By V. “Juggy” Jagannathan, PhD
In this blog, I explore the notion of “fit for purpose” in the context of large language models (LLMs). When you have a big hammer, as they say, everything is […]
Blog post
Aug. 11, 2023 / By V. “Juggy” Jagannathan, PhD
In this blog, I explore the state of affairs with how to label content generated by artificial intelligence (AI). This is an incredibly hard problem to solve. Labeling AI […]
Blog post
June 16, 2023 / By V. “Juggy” Jagannathan, PhD
This week’s blog highlights content from my latest podcast with my friend Prem Devanbu, distinguished professor emeritus at UC Davis. He works in empirical software engineering and artificial intelligence (AI) […]