Training on synthetic data cannot lead to new knowledge discoveries. Training on synthetic data is a process of transforming one representation of knowledge into another. Any knowledge discovered by the second system must be implicit in the data generator. 1/
Mathematics from beyond the edge.
This image, widely circulating on the Web, begins with 2 2 = 4.
We shiver in delight, or perhaps a madness bordering on insanity.
Breaking News: Academic workers across the University of California system walked off the job on Monday as part of a strike over pay and benefits. nyti.ms/3g5d5cy
Today's the first day of the Deep Learning Theory Workshop & Summer School at the @SimonsInstitute. Excited to see everyone! Schedule is here, and talks will be streamed & recorded: simons.berkeley.edu/workshop…
The Eisenhower Decision Matrix is a 2x2 matrix.
It’s a visualization tool that forces you to differentiate between the urgent and the important to prioritize your time accordingly.
It was popularized by @StephenRCovey in his 7 Habits of Highly Effective People.
How it works:
According to IBM’s 2022 Cost of a Data Breach Report, data breaches of critical national infrastructure cost on average $1M more than those hitting other organisations. See how deploying a zero trust environment can help mitigate these losses via @techmonitorai:
This ICML, I was (pleasantly) surprised to see a bunch of papers on causal inference, specifically on how machine learning can help in estimating causal effects.
Here are five cool ones. 🧵
I'm launching a new Twitter service.
You tweet me the name of a paper you're going to cite and for what reason, and I'll respond with a better paper to cite, if one exists.