Joyce's picks: readings in ML/AI , October 12, 2023
“Nougat: Neural Optical Understanding for Academic Documents” (link)
“Monitor your NVIDIA GPUs on Compute Engine with Ops Agent” (link)
“A
Joyce’s picks: readings in ML/AI , August 18, 2023
Spotify launched Confidence — an experimentation platform: blog and sign up for private beta. (link)
“AI chatbot K Health picks up
Generative AI x Knowledge Graphs
Data wrangling tasks include data acquisition, data ingestion, data extraction, data cleaning, data transformation, exploratory data analysis, and data pipelining for ML tasks. Data variety, dimensionality, complexity, duplication, provenance can further complicate this data wrangling process.
Bigger is not better in machine learning
I heard an interview today featuring the Chief Scientist of Mosaic ML. One of the things Jonathan Frankle said is
Security Robots
I recently learned that a Santa Fe high school is testing autonomous robots with multiple cameras to monitor the surrounding
Machine Learning and Audio Data
I was excited to see WSJ featuring Shazam. The 6-minute video explains how Shazam works, albeit in a simple manner.
AI Generative Models are eating the world
Originally posted on September 21, 2022
My Berkeley co-instructor David Steier and I have been talking about large transformer and/
Thoughts on Generative AI, June 2023
This week I had the opportunity to speak at Women in Data Science event hosted by 6sense and the Generative
Defensibility in AI Applications
I have seen many AI startups in the past few months, and we need to talk more about defensibility. While