[SPEAKER 1:] I’m in. How that happened?
[SPEAKER 2:] Welcome to the AI Show. I’m Scott Stephenson, co founder of deep graham . With me is Jeff Ward ak Susan. He’s a navy pilot, acclaimed dad joke right … we’ve never had you give a dad joke. We need to do that. claimed dad joke writer.
[SPEAKER 1:] …yeah. Right, ok. Knock knock.
[SPEAKER 2:] Who’s there?
[SPEAKER 1:] Spell.
[SPEAKER 2:] Spell who?
[SPEAKER 1:] w h zero.
[SPEAKER 2:] Oh , good one. That’s a that’s a real good one. He’s also an AI scientists at deep graham . 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. Comments on YouTube and Twitch or tweet at deep graham 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 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 background —
[SPEAKER 2:] a 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:] like.
[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 layer .
[SPEAKER 1:] I like it.
[SPEAKER 2:] Yep. We had to design the experiment and build the experiment, operate the experiment, take data, analyzed 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 signal … 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?