[SPEAKER 1:]I’m in. yeah, I mean
[SPEAKER 2:] Welcome to the AI Show. I’m Scott Stephenson, co founder of deep g . With me is Jeff Ward aka Susan. He’s a navy pilot, acclaimed dad joke right … we’ve never had you give a dad joke. We need to do that. claim dad joke right .
[SPEAKER 1:] …yeah. Well, ok. Knock knock.
[SPEAKER 2:] Who’s there?
[SPEAKER 1:] Spell.
[SPEAKER 2:] Spell who?
[SPEAKER 1:] who who who
[SPEAKER 2:] Oh, good one morning handsome. That’s a that’s a real good one. He’s also an AI scientist at deep g. . On the AI Show, we talk about all things AI. What is it? What can you do with it? How does it affect you? Where is it going? We’re live and ready to answer your questions. Comment on YouTube and Twitch or tweet at deep g AI to join in. Today, we’re asking the question, are big question, how is machine learning, or deep learning, affecting science?
[SPEAKER 1:] Actually, I’m asking a silly question of you.
[SPEAKER 2:] Good. I’m ready to answer. What’s the question?
[SPEAKER 1:] For those that do not know, Scott here has a little bit of a science background —
[SPEAKER 2:] Little bit.
[SPEAKER 1:] — and a little bit of machine learning in science background.
[SPEAKER 2:] That’s true. Yeah.
[SPEAKER 1:] So so Scott, can you at least give us a… just give us the the the ten thousand foot overview of of a little bit of what you’ve done?
[SPEAKER 2:] Ten ten thousand foot overview is I have a PhD in particle physics, and I was…
[SPEAKER 1:] Doctor.
[SPEAKER 2:] yeah . So doctor Scott. But, I was searching for dark matter deep underground in a government controlled region of China. Basically, a James Bond layer .
[SPEAKER 1:] I like it.
[SPEAKER 2:] Yep. We had to design the experiment and build the experiment, operate the experiment, take data, analyze the data, write a paper, you know, so this is what you do CUT HERE ON AUDIO ON SITE
And experimental particle physics. And we did that searching for dark matter —
[SPEAKER 1:] Mhmm.
[SPEAKER 2:] — and we did it with lots of computers, servers, CPUs, things like that. Lots of copper, plastic, liquid xenon, cryogenic stuff. And the CPUs were used to do data analysis, and we were using like boosted decision trees and neural networks and other standard, like, statistics based cuts in order to figure out was it a dark matter particle or not.
[SPEAKER 1:] So tons of sigil … signal noise search basically. Right?

[SPEAKER 1:] I’m in. How that happened?
[SPEAKER 2:] Welcome to the AI Show. I’m Scott Stephenson, co founder of Deepgram. With me is Jeff Ward aka Susan. He’s a navy pilot, acclaimed dad joke writer … we’ve never had you give a dad joke. I need to do that. Acclaimed dad joke writer.
[SPEAKER 1:] …yeah. Whoa , ok. Knock knock.
[SPEAKER 2:] Who’s there?
[SPEAKER 1:] Spell.
[SPEAKER 2:] Spell who?
[SPEAKER 1:] who who who
[SPEAKER 2:] Oh, good one. that’s Tensor really good one. He’s also an AI scientist at Deepgram. On the AI Show, we talk about all things AI. What is it? What can you do with it? How does it affect you? Where is it going? We’re live and ready to answer your questions. Comment on YouTube and Twitch or tweet at Deepgram AI to join in. Today, we’re asking the question, our big question, how is machine learning, or deep learning, affecting science?
[SPEAKER 1:] Actually, I’m asking the question of you.
[SPEAKER 2:] Good. I’m ready to answer. What’s the question?
[SPEAKER 1:] For those that do not know, Scott here has a little bit of a science back around —
[SPEAKER 2:] Little bit.
[SPEAKER 1:] — and a little bit of machine learning in science background.
[SPEAKER 2:] That’s true. Yeah.
[SPEAKER 1:] So so Scott, can you at least give us a… just give us the the that ten thousand foot overview of of a little bit of what you’ve done?
[SPEAKER 2:] Ten ten thousand foot overview is I’ have a PhD in particle physics, and I was…
[SPEAKER 1:] Doctor.
[SPEAKER 2:] Yes. So doctor Scott. But, I was searching for dark matter deep underground in a government controlled region of China. Basically, a James Bond lair.
[SPEAKER 1:] I like it.
[SPEAKER 2:] Yep. We had to design the experiment and build the experiment, operate the experiment, take data, analyze the data, write a paper, you know, so this is what you do in experimental particle physics. And we did that searching for dark matter —
[SPEAKER 1:] Mhmm.
[SPEAKER 2:] — and we did it with lots of computers, servers, CPUs, things like that. Lots of copper, plastic, liquid xenon, cryogenic stuff. And the CPUs were used to do data analysis, and we were using like boosted decision trees and neural networks and other standard, like, statistics based cuts in order to figure out was it a dark matter particle or not.
[SPEAKER 1:] So tons of seagull… signal noise search basically. Right?